Table:
Club statistics[1]

Club

Season

League

Cup

Continental

Other

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Independiente

1997–98

Argentine Primera División

5
0
0
0
—
0
0
5
0

Toros Neza

2000–01

Primera División A

15
1
0
0
—
0
0
15
1

América de Cali

2001

Categoría Primera A

3
0
0
0
0
0
0
0
3
0

Argentinos Juniors

2001–02

Argentine Primera División

33
1
0
0
—
0
0
33
1

Nueva Chicago

2002–03

34
1
0
0
—
0
0
34
1

2005–06

Primera B Nacional

9
0
0
0
—
0
0
9
0

Total

43
1
0
0
—
0
0
43
1

Jorge Wilstermann

2006

Bolivian Primera División

8
0
0
0
—
0
0
8
0

Alumni

2007–08

Torneo Argentino A

22
1
0
0
—
0
0
22
1

Tiro Federal

2008–09

Torneo Argentino B

15
1
0
0
—
0
0
15
1

Career total

144
5
0
0
0
0
0
0
144
5

Given a task involving a table image, your goal is to pinpoint the positions of specified cells. Format each cell's location as JSON in the format {'value': '<cell value>', 'location': (row_id, column_id)}, with both row and column id starting from 1. Should a cell be absent in the table, denote its location as 'DOES NOT EXIST'.
Refer to the cell values provided below:
1. 'bolivian primera division'
2. '2006'
3. '1997-98'
4. '2005-06'
5. 'categoria primera a'
6. 'continental'

The coordinates of target cells are listed below.
1. {'value': 'bolivian primera division', 'location': (10, 3)}
2. {'value': '2006', 'location': (10, 2)}
3. {'value': '1997-98', 'location': (3, 2)}
4. {'value': '2005-06', 'location': (8, 2)}
5. {'value': 'categoria primera a', 'location': (5, 3)}
6. {'value': 'continental', 'location': (1, 8)}