Table:
Club

Season

League

Cup

League Cup

Total

Division

Apps
Goals

Apps
Goals

Apps
Goals

Apps
Goals

Bayer Leverkusen II
1991–92
Oberliga Nordrhein

16

—

16

Wuppertaler SV
1992–93
2. Bundesliga
9
3

—
9
3

Pohang Steelers
1993
K League
0
0
—
1
0
1
0

1994
14
5
—
0
0
14
5

1995
24
11
—
2
0
26
11

1996
13
10
0
0
5
3
18
13

1997
0
0
1
0
1
0
2
0

1998
1
0
0
0
2
2
3
2

Total
52
26
1
0
11
5
64
31

Cerezo Osaka
1998
J1 League
11
6
0
0
0
0
11
6

1999
25
24
0
0
2
3
27
27

Total
36
30
0
0
2
3
38
33

Suwon Samsung
2000
K League
0
0
0
0
1
0
1
0

Kashiwa Reysol
2000
J1 League
6
1
0
0
1
0
7
1

2001
21
10
0
0
4
0
25
10

2002
7
1
0
0
0
0
7
1

Total
34
12
0
0
5
0
39
12

Chunnam Dragons
2002
K League
0
0
0
0
0
0
0
0

Germany

9
3

—
9
3

Korea Republic

52
26
1
0
12
5
65
31

Japan

70
42
0
0
7
3
77
45

Career total

131
71
0
0
19
8
151
79

Your is as follows:
Examine the table image and determine the locations of the mentioned cells. You need to express a cell's position with the JSON {'value': '<cell value>', 'location': (row index, column index)}, with row and column indices both commencing from 1. For the case where a cell is not contained in the table, its location should be denoted as 'DOES NOT EXIST'.
Cells to locate:
1. 'league cup'
2. '64'
3. 'cup'
4. '38'
5. '65'
6. 'kashiwa reysol'
7. 'oberliga nordrhein'
8. '2. bundesliga'
9. '36'
10. '380'
11. '9,194'

The target cell locations are as follows:
1. {'value': 'league cup', 'location': (1, 8)}
2. {'value': '64', 'location': (11, 10)}
3. {'value': 'cup', 'location': (1, 6)}
4. {'value': '38', 'location': (14, 10)}
5. {'value': '65', 'location': (22, 10)}
6. {'value': 'kashiwa reysol', 'location': (16, 1)}
7. {'value': 'oberliga nordrhein', 'location': (3, 3)}
8. {'value': '2. bundesliga', 'location': (4, 3)}
9. {'value': '36', 'location': (14, 4)}
10. {'value': '380', 'location': 'DOES NOT EXIST'}
11. {'value': '9,194', 'location': 'DOES NOT EXIST'}