//此为 DFS 深度搜索,搞了一下午,上网看了视频,还有广度搜素
while(line = readline()) {
    let [n, m] = line.split(' ').map(x => parseInt(x));
    let test = Array(n).fill(0).map(x => Array(m).fill(0)); // 0表示没走过, 1表示已走
    let arr = []; // 0 表示空地,1表示阻挡
    let arrX = [1, 0, -1, 0]; //下一步x对应的右、下、左、上
    let arrY = [0, 1, 0, -1]; //下一步y对应的右、下、左、上
    let target = [];
    for(let i = 0; i < n; i++) {
        arr.push(readline().split(' ').map(x => parseInt(x)));
    }
    dfs(0, 0, [{x: 0, y:0}]);
    for (let item of target) {
        print(`(${item.y},${item.x})`);
    }
    function dfs(x ,y, points) {
        points = JSON.parse(JSON.stringify(points)); //必须得深拷贝否则会将所有走过的点都记录
        if (x == m-1 && y == n-1) {
            return target = points; //如果有多条路径,此处可以作判断将points最短的赋值给target
        }
        for(let key = 0; key <= 3; key ++) {
            let pointX = x + arrX[key];
            let pointY = y + arrY[key];
            if (pointX >= 0 && pointX < m && pointY >=0 && pointY < n) {
                if (arr[pointY][pointX] == 0 && test[pointY][pointX] == 0 ){
                   test[pointY][pointX] = 1;
                   points.push({x: pointX, y: pointY})
                   dfs(pointX, pointY, points);
                   points.pop(); // 回退
                   test[pointY][pointX] = 0; //还原状态
               }  
            }

        }
        return;
    }
}