Table:
Club

Season

Division

League

FA Cup

Other

Total

Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Wolverhampton Wanderers

1961–62

First Division

1
0
1
0
0
0
2
0

1962–63

First Division

15
0
0
0
0
0
15
0

1963–64

First Division

21
0
1
0
0
0
22
0

1964–65

First Division

7
0
0
0
0
0
7
0

1965–66

Second Division

1
0
0
0
0
0
1
0

Total

45
0
2
0
0
0
47
0

Stockport County

1965–66

Fourth Division

23
1
0
0
0
0
23
1

1966–67

Fourth Division

37
1
3
0
1
0
41
1

1967–68

Third Division

37
3
2
0
3
0
42
3

1968–69

Third Division

46
12
3
0
3
0
52
12

1969–70

Third Division

33
3
4
0
1
0
38
3

Total

176
20
12
0
8
0
196
20

Blackburn Rovers

1969–70

Second Division

11
2
0
0
0
0
11
2

1970–71

Second Division

40
2
1
0
1
0
42
2

1971–72

Third Division

13
0
0
0
3
0
16
0

Total

64
4
1
0
4
0
69
4

Southport

1971–72

Fourth Division

12
0
1
0
0
0
13
0

Port Vale

1972–73

Third Division

27
2
1
0
2
0
30
2

Macclesfield Town

1973–74[5]

Northern Premier League

32
6
5
0
13
1
50
7

Stockport County

1974–75

Fourth Division

29
1
2
0
0
0
31
0

Career Total

385
33
24
0
27
1
436
34

Can you extract and list the values from these specific rows or columns in the table?
row 5
row 7
column 2
column 9
row 13

Represent the cells in a row or a column with the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For instance, {"row_id":"5", "cell_list": ["13", "england", "2023-1201"]}.

The cell values of target rows or columns are as follows:
For row 5: {"row_id": "5", "cell_list": ['', '1963-64', 'first division', '21', '0', '1', '0', '0', '0', '22', '0']}
For row 7: {"row_id": "7", "cell_list": ['', '1965-66', 'second division', '1', '0', '0', '0', '0', '0', '1', '0']}
For column 2: {"column_id": "2", "cell_list": ['season', '', '1961-62', '1962-63', '1963-64', '1964-65', '1965-66', 'total', '1965-66', '1966-67', '1967-68', '1968-69', '1969-70', 'total', '1969-70', '1970-71', '1971-72', 'total', '1971-72', '1972-73', '1973-74', '1974-75', '']}
For column 9: {"column_id": "9", "cell_list": ['', 'goals', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '0', '1']}
For row 13: {"row_id": "13", "cell_list": ['', '1969-70', 'third division', '33', '3', '4', '0', '1', '0', '38', '3']}