Table:
Appearances and goals by club, season and competition

Club

Season

League

Scottish Cup

League Cup

Europe

Other

Total

Division
Apps
Goals

Apps
Goals

Apps
Goals

Apps
Goals

Apps
Goals

Apps
Goals

Heart of Midlothian

2011–12[22]

Premier League

0
0
1
0
0
0
0
0
—
1
0

2012–13[23]

8
0
0
0
1
0
0
0
—
9
0

Total

8
0
1
0
1
0
0
0
0
0
10
0

Hibernian

2013–14[24]

Premiership

3
0
0
0
0
0
1[a]
0
0
0
4
0

Total

3
0
0
0
0
0
1
0
0
0
4
0

Raith Rovers

2013–14[24]

Championship

10
0
1
0
0
0
—
1[b]
0
12
0

Total

10
0
1
0
0
0
0
0
1
0
12
0

East Fife

2014–15[25]

League Two

32
3
2
0
1
0
—
5[c]
0
40
3

2015–16[26]

24
0
2
0
1
0
—
1[b]
0
28
0

Total

56
3
4
0
2
0
—
6
0
68
3

Cowdenbeath

2016–17[27]

League Two

33
2
1
0
4
0
—
1[b]
0
39
2

2017–18[28]

10
0
1
0
4
0
—
1[b]
0
16
0

Total

43
2
2
0
8
0
—
2
0
55
2

Career total

120
5
8
0
11
0
1
0
9
0
151
5

Given a table image and a set of target cells, your task is to identify their positions. Represent each cell's location as JSON in the format {'value': '<cell value>', 'location': (Row_ID, Column_ID)}, with both row and column IDs begin from 1.
Refer to the values below:
CELL VALUE 1: 'club';
CELL VALUE 2: 'scottish cup';
CELL VALUE 3: '28';
CELL VALUE 4: 'premiership';
CELL VALUE 5: 'europe';

Represent the location as 'DOES NOT EXIST' if a cell is not present in the table. 

The coordinates of target cells are listed below.
CELL LOCATION 1: {'value': 'club', 'location': (1, 1)}
CELL LOCATION 2: {'value': 'scottish cup', 'location': (1, 6)}
CELL LOCATION 3: {'value': '28', 'location': (11, 14)}
CELL LOCATION 4: {'value': 'premiership', 'location': (6, 3)}
CELL LOCATION 5: {'value': 'europe', 'location': (1, 10)}