#include <bits/stdc++.h>
using namespace std;
#define SELF_TEST
const int N = 2000 , P = N + 1 ; int a[ N ] [ N ] ;
typedef long long ll; ll sum[ P ] [ P ] ;
typedef long double ldbl;
typedef chrono:: high_resolution_clock Clock_t;
typedef Clock_t:: time_point time_point_t;
time_point_t Now( ) { return Clock_t:: now ( ) ; }
struct Timer_t
{
time_point_t start_time;
Timer_t( ) : start_time( Now( ) ) { }
typedef long double ldbl;
typedef chrono:: nanoseconds nanosec_t;
ll elaped_time( )
{
nanosec_t timer = chrono:: duration_cast < nanosec_t > ( Now( ) - start_time ) ;
return timer.count ( ) ;
}
} ;
struct random_t: mt19937_64
{
random_t( ) : mt19937_64( Clock_t:: now ( ) .time_since_epoch ( ) .count ( ) ) { }
int random( int MIN, int MAX )
{
ll x_min = MIN, x_max = MAX, interval = x_max - x_min + 1 , number = ( * this ) ( ) ;
if ( number < 0 )
number + = LLONG_MAX;
return x_min + ( number % interval ) ;
}
} mt;
inline string time_to_str( const string & prefix, ll elapsed_time )
{
return prefix + " time " + to_string( elapsed_time ) + " msec." ;
}
const string no_solution = "NIE" ;
struct plot_purchase_t
{
ll elapsed_time, iterations, r, s, t; int test_case, k, l, n, a_min;
void answer( Timer_t & timer, string solution )
{
#ifdef SELF_TEST
elapsed_time = timer.elaped_time ( ) / 1000000LL,
solution = "test " + to_string( test_case ) + ": " + solution,
solution + = ", " + time_to_str( "elapsed" , elapsed_time ) ;
#endif
cout << solution;
#ifdef SELF_TEST
cout << endl;
#endif
}
void solve( )
{
Timer_t timer; int x0, y0, x1, y1, x2, y2;
for ( y0 = 0 , y1 = 1 ; y0 < n; y0 = y1++ )
for ( x0 = 0 , x1 = 1 ; x0 < n; x0 = x1++ )
{
auto & z = sum[ y1 ] [ x1 ] ;
z = a[ y0 ] [ x0 ] ,
z + = sum[ y0 ] [ x1 ] ,
z + = sum[ y1 ] [ x0 ] ,
z - = sum[ y0 ] [ x0 ] ;
}
if ( sum[ n ] [ n ] < k or a_min > l )
return answer( timer, no_solution ) ;
if ( sum[ n ] [ n ] <= l )
return answer( timer, "1 1 " + to_string( n ) + " " + to_string( n ) ) ;
for ( y0 = 0 , y1 = 1 ; y0 < n; y0 = y1++ )
for ( x0 = 0 , x1 = 1 ; x0 < n; x0 = x1++ )
if ( a[ y0 ] [ x0 ] <= l )
{
for ( r = sum[ y0 ] [ x0 ] , y2 = y1; y2 <= n; y2++ )
for ( s = sum[ y2 ] [ x0 ] - r, x2 = x1; x2 <= n; x2++ )
if ( ( iterations++ , t = sum[ y2 ] [ x2 ] - sum[ y0 ] [ x2 ] - s ) > l )
break ;
else
if ( t >= k )
{
string solution = to_string( y1 ) + ' ' +
to_string( x1 ) + ' ' +
to_string( y2 ) + ' ' +
to_string( x2 ) ;
#ifdef SELF_TEST
solution + = "\n n = " +
to_string( n ) + ", k = " +
to_string( k ) + ", " +
to_string( iterations ) + " iteration(s), sum / k = " +
to_string( ldbl( t ) / ldbl( k ) ) ;
#endif
return answer( timer, solution ) ;
}
}
return answer( timer, no_solution ) ;
}
plot_purchase_t( int t = 0 ) : elapsed_time( 0 ) , iterations( 0 ) ,
test_case( t ) , a_min( INT_MAX )
{
#ifdef SELF_TEST
k = mt.random ( 1 , 1000000000 ) ,
n = mt.random ( 1 , 2000 ) ;
for ( int y0 = 0 ; y0 < n; y0++ )
for ( int x0 = 0 ; x0 < n; x0++ )
a[ y0 ] [ x0 ] = mt.random ( 1 , 2000000000 ) ;
a[ 1999 ] [ 1999 ] = 200000001 ;
#else
cin >> k >> n;
for ( int y0 = 0 ; y0 < n; y0++ )
for ( int x0 = 0 ; x0 < n; x0++ )
cin >> a[ y0 ] [ x0 ] ;
#endif
memset ( sum, 0 , sizeof sum ) ;
for ( int y0 = 0 ; y0 < n; y0++ )
for ( int x0 = 0 ; x0 < n; x0++ )
a_min = min( a_min, a[ y0 ] [ x0 ] ) ;
l = 2 * k, solve( ) ;
}
} ;
template < typename T > struct data_analysis_t
{
T min_value, max_value, sum; int count;
data_analysis_t( ) : min_value( LLONG_MAX ) , max_value( LLONG_MIN ) ,
sum( 0 ) , count( 0 ) { }
void add_value( T x )
{
min_value = min( min_value, x ) ,
max_value = max( max_value, x ) ,
sum + = x,
count++ ;
}
ldbl avg_value( ) const
{
return ldbl( sum ) / ldbl( count ) ;
}
friend ostream& operator << ( ostream & output, const data_analysis_t & x )
{
output << "avg " << ldbl( x.sum ) / ldbl( x.count ) << ", " ,
output << "min " << x.min_value << ", " ,
output << "max " << x.max_value ;
return output;
}
} ;
int main( )
{
ios_base:: sync_with_stdio ( false ) , cin .tie ( nullptr ) , cout .tie ( nullptr ) ;
#ifdef SELF_TEST
int tests; cin >> tests; assert ( tests > 0 ) ;
data_analysis_t< ll > elapsed_time, iterations, n, k;
data_analysis_t< ldbl > s;
for ( int i = 0 ; i < tests; i++ )
{
plot_purchase_t problem( i ) ;
elapsed_time.add_value ( problem.elapsed_time ) ,
iterations.add_value ( problem.iterations ) ,
n.add_value ( problem.n ) ,
k.add_value ( problem.k ) ,
s.add_value ( ldbl( problem.t ) / ldbl( problem.k ) ) ;
}
cout << "elapsed time: " << elapsed_time << endl,
cout << "iteration(s): " << iterations << endl,
cout << "n : " << n << endl,
cout << "k : " << k << endl,
cout << "sum / k : " << s << endl;
#else
plot_purchase_t problem; problem.solve ( ) ;
#endif
}
#include <bits/stdc++.h>

using namespace std;

#define SELF_TEST

const int N = 2000, P = N + 1; int a[ N ][ N ];

typedef long long ll;  ll sum[ P ][ P ];

typedef long double ldbl;

typedef chrono::high_resolution_clock Clock_t;

typedef Clock_t::time_point      time_point_t;

time_point_t Now() { return Clock_t::now(); }

struct Timer_t
{
    time_point_t start_time;

    Timer_t() : start_time( Now() ) {}

    typedef long double ldbl;

    typedef chrono::nanoseconds nanosec_t;

    ll elaped_time()
    {
        nanosec_t timer = chrono::duration_cast< nanosec_t >( Now() - start_time );

        return timer.count();
    }
};

struct random_t: mt19937_64
{
    random_t() : mt19937_64( Clock_t::now().time_since_epoch().count() ) {}

    int random( int MIN, int MAX )
    {
        ll x_min = MIN, x_max = MAX, interval = x_max - x_min + 1, number = (*this)();

        if ( number < 0 )
            number += LLONG_MAX;

        return x_min + ( number % interval );
    }

} mt;

inline string time_to_str( const string &prefix, ll elapsed_time )
{
    return prefix + " time " + to_string( elapsed_time ) + " msec.";
}

const string no_solution = "NIE";

struct plot_purchase_t
{
    ll elapsed_time, iterations, r, s, t; int test_case, k, l, n, a_min;

    void answer( Timer_t &timer, string solution )
    {
#ifdef SELF_TEST

        elapsed_time = timer.elaped_time() / 1000000LL,
        solution  = "test " + to_string( test_case ) + ": " + solution,
        solution += ", " + time_to_str( "elapsed", elapsed_time );

#endif

        cout << solution;

#ifdef SELF_TEST

        cout << endl;

#endif
    }

    void solve()
    {
        Timer_t timer; int x0, y0, x1, y1, x2, y2;

        for( y0 = 0, y1 = 1; y0 < n; y0 = y1++ )
            for( x0 = 0, x1 = 1; x0 < n; x0 = x1++ )
            {
                auto &z = sum[ y1 ][ x1 ];

                z  =   a[ y0 ][ x0 ],
                z += sum[ y0 ][ x1 ],
                z += sum[ y1 ][ x0 ],
                z -= sum[ y0 ][ x0 ];
            }


        if ( sum[ n ][ n ] < k or a_min > l )
            return answer( timer, no_solution );

        if ( sum[ n ][ n ] <= l )
            return answer( timer, "1 1 " + to_string( n ) + " " + to_string( n ) );

        for( y0 = 0, y1 = 1; y0 < n; y0 = y1++ )
            for( x0 = 0, x1 = 1; x0 < n; x0 = x1++ )
                if ( a[ y0 ][ x0 ] <= l )
                {
                    for( r = sum[ y0 ][ x0 ], y2 = y1; y2 <= n; y2++ )
                        for( s = sum[ y2 ][ x0 ] - r, x2 = x1; x2 <= n; x2++ )
                            if ( ( iterations++, t = sum[ y2 ][ x2 ] - sum[ y0 ][ x2 ] - s ) > l )
                                break;
                            else
                                if ( t >= k )
                                {
                                    string solution =   to_string( y1 ) + ' ' +
                                                        to_string( x1 ) + ' ' +
                                                        to_string( y2 ) + ' ' +
                                                        to_string( x2 );
#ifdef SELF_TEST
                                    solution +=     "\nn = " +
                                                    to_string( n ) + ", k = " +
                                                    to_string( k ) + ", " +
                                                    to_string( iterations ) + " iteration(s), sum / k = " +
                                                    to_string( ldbl( t ) / ldbl( k ) );
#endif
                                    return answer( timer, solution );

                                }
                }

            return answer( timer, no_solution );
    }

    plot_purchase_t( int t = 0 ) :	elapsed_time( 0 ), iterations( 0 ),
			test_case( t ), a_min( INT_MAX )
    {

#ifdef SELF_TEST

          k = mt.random( 1, 1000000000 ),
          n = mt.random( 1, 2000 );


        for( int y0 = 0; y0 < n; y0++ )
            for( int x0 = 0; x0 < n; x0++ )
                a[ y0 ][ x0 ] = mt.random( 1, 2000000000 );

        a[ 1999 ][ 1999 ] = 200000001;
#else

        cin >> k >> n;

        for( int y0 = 0; y0 < n; y0++ )
            for( int x0 = 0; x0 < n; x0++ )
                cin >> a[ y0 ][ x0 ];

#endif

        memset( sum, 0, sizeof sum );

        for( int y0 = 0; y0 < n; y0++ )
            for( int x0 = 0; x0 < n; x0++ )
                a_min = min( a_min, a[ y0 ][ x0 ] );

       l = 2 * k, solve();
    }

};

template< typename T > struct data_analysis_t
{
    T min_value, max_value, sum; int count;

    data_analysis_t() : min_value( LLONG_MAX ), max_value( LLONG_MIN ),
                        sum( 0 ), count( 0 ) {}

    void add_value( T x )
    {
        min_value = min( min_value, x ),
        max_value = max( max_value, x ),
        sum      += x,
        count++;
    }

    ldbl avg_value() const
    {
        return ldbl( sum ) / ldbl( count );
    }

    friend ostream& operator << ( ostream &output, const data_analysis_t &x )
    {
        output << "avg " << ldbl( x.sum ) / ldbl( x.count ) << ", ",
        output << "min " << x.min_value << ", ",
        output << "max " << x.max_value;

        return output;
    }
};

int main()
{
    ios_base::sync_with_stdio( false ), cin.tie( nullptr ), cout.tie( nullptr );

#ifdef SELF_TEST

    int tests; cin >> tests; assert( tests > 0 );

    data_analysis_t< ll > elapsed_time, iterations, n, k;

    data_analysis_t< ldbl > s;

    for( int i = 0; i < tests; i++ )
    {
        plot_purchase_t problem( i );

        elapsed_time.add_value( problem.elapsed_time ),
          iterations.add_value( problem.iterations   ),
                   n.add_value( problem.n            ),
                   k.add_value( problem.k            ),
                   s.add_value( ldbl( problem.t ) / ldbl( problem.k ) );
    }

    cout << "elapsed time: " << elapsed_time << endl,
    cout << "iteration(s): " << iterations << endl,
    cout << "n           : " << n << endl,
    cout << "k           : " << k << endl,
    cout << "sum / k     : " << s << endl;

#else

    plot_purchase_t problem; problem.solve();

#endif
}

stdout
test 0: 1 1 2 1
n = 769, k = 393825606, 3 iteration(s), sum / k = 1.934313, elapsed time 1 msec.
test 1: 1 7 1 7
n = 323, k = 363312108, 325 iteration(s), sum / k = 1.645742, elapsed time 0 msec.
test 2: 1 1 1 1
n = 57, k = 777295349, 1 iteration(s), sum / k = 1.886416, elapsed time 0 msec.
test 3: 1 2 1 2
n = 936, k = 651598796, 1 iteration(s), sum / k = 1.377248, elapsed time 2 msec.
test 4: 1 3 1 3
n = 475, k = 543468849, 477 iteration(s), sum / k = 1.395010, elapsed time 0 msec.
test 5: 1 11 1 11
n = 132, k = 119637833, 1 iteration(s), sum / k = 1.735845, elapsed time 0 msec.
test 6: 1 8 1 8
n = 1120, k = 155075975, 1 iteration(s), sum / k = 1.696990, elapsed time 3 msec.
test 7: 1 3 1 3
n = 1444, k = 194390918, 1 iteration(s), sum / k = 1.261075, elapsed time 4 msec.
test 8: 1 4 1 4
n = 414, k = 457467209, 1 iteration(s), sum / k = 1.711714, elapsed time 0 msec.
test 9: 1 1 1 2
n = 1921, k = 988840422, 2 iteration(s), sum / k = 1.147386, elapsed time 7 msec.
elapsed time: avg 1.7, min 0, max 7
iteration(s): avg 81.3, min 1, max 477
n : avg 759.1, min 57, max 1921
k : avg 4.64491e+08, min 119637833, max 988840422
sum / k : avg 1.57917, min 1.14739, max 1.93431