Table:
Club

Season

League

Domestic Cups [a]

Europe[b]

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Jazz

2003

Veikkausliiga

4
0
0
0
0
0
4
0

Total

4
0
0
0
0
0
4
0

MuSa

2004

Kakkonen

18
17
0
0
0
0
18
17

Total

18
17
0
0
0
0
18
17

VG-62

2004

Ykkönen

2
1
0
0
0
0
2
1

Total

2
1
0
0
0
0
2
1

Inter Turku

2005

Veikkausliiga

5
1
0
0
0
0
5
1

2006

7
0
0
0
0
0
7
0

2007

14
2
0
0
0
0
14
2

2008

9
4
0
0
0
0
9
4

2009

23
11
0
0
2
0
25
11

2010

4
0
5
3
1
0
10
3

2011

33
22
3
1
1
0
10
3

Total

95
40
8
4
4
0
107
44

Fortuna Düsseldorf

2011-12

2. Bundesliga

9
0
0
0
0
0
9
0

Total

9
0
0
0
0
0
9
0

Hallescher FC

2012-13

3. Liga

16
8
0
0
0
0
16
8

2013-14

32
12
0
0
0
0
32
12

2014-15

35
12
0
0
0
0
35
12

2015-16

18
3
1
0
0
0
19
3

2016-17

2
0
0
0
0
0
2
0

Total

103
35
1
0
0
0
104
35

Inter Turku

2017

Veikkausliiga

4
2
7
5
0
0
11
7

Total

4
2
7
5
0
0
11
7

Career total

235
95
16
9
4
0
255
104

Analyze the provided table and identify the locations of these cells:
(1) '2003',
(2) '2017',
(3) '25',
(4) '2010',
(5) '2008',
(6) '19',
(7) '2015-16',
(8) '2009',
(9) 'Anna Maloukhina (URS)',
(10) '3. liga',
Provide the cell locations using the JSON format {'value': '<cell value>', 'location': (row index, column index)}, where row and column indices start from 1. Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.

The coordinates of target cells are listed below.
(1) {'value': '2003', 'location': (3, 2)}
(2) {'value': '2017', 'location': (25, 2)}
(3) {'value': '25', 'location': (13, 10)}
(4) {'value': '2010', 'location': (14, 2)}
(5) {'value': '2008', 'location': (12, 2)}
(6) {'value': '19', 'location': (22, 10)}
(7) {'value': '2015-16', 'location': (22, 2)}
(8) {'value': '2009', 'location': (13, 2)}
(9) {'value': 'Anna Maloukhina (URS)', 'location': 'DOES NOT EXIST'}
(10) {'value': '3. liga', 'location': (19, 3)}