Table:
Club

Season

Division

League

FA Cup

Other

Total

Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Birmingham City

1976–77

First Division

4
1
0
0
0
0
4
1

1977–78

First Division

11
0
0
0
0
0
11
0

1978–79

First Division

14
0
0
0
0
0
14
0

Total

29
1
0
0
0
0
29
1

Wrexham

1978–79

Second Division

21
1
3
0
0
0
24
1

1979–80

Second Division

38
6
4
0
4
1
46
7

1980–81

Second Division

38
6
5
1
0
0
43
7

1981–82

Second Division

38
1
4
0
4
0
44
1

1982–83

Third Division

6
0
0
0
2
0
8
0

Total

142
10
16
2
10
1
168
13

Port Vale

1982–83

Fourth Division

34
3
1
0
0
0
35
3

1983–84

Third Division

40
3
1
0
6
0
47
3

Total

74
6
2
0
6
0
82
6

Chester City

1984–85

Fourth Division

32
4
1
1
3
0
36
5

1985–86

Fourth Division

1
0
0
0
0
0
1
0

Total

33
4
1
1
3
0
37
5

Career Total

278
21
19
3
19
1
316
25

Analyze the provided table and identify the locations of these cells:
(1) '32'
(2) 'keita balde'
(3) '35'
(4) 'season'
(5) '0+4'
(6) '2+1'
(7) 'division'
Provide the cell locations using the JSON format {'value': '<cell value>', 'location': (Row_ID, Column_ID)}, where row and column IDs start from 1. Represent the location as 'DOES NOT EXIST' if a cell is not present in the table.

The target cell locations are as follows:
(1) {'value': '32', 'location': (16, 4)}
(2) {'value': 'keita balde', 'location': 'DOES NOT EXIST'}
(3) {'value': '35', 'location': (13, 10)}
(4) {'value': 'season', 'location': (1, 2)}
(5) {'value': '0+4', 'location': 'DOES NOT EXIST'}
(6) {'value': '2+1', 'location': 'DOES NOT EXIST'}
(7) {'value': 'division', 'location': (1, 3)}