Table:
Club

Season

League

Cup[nb 1]

Europe[nb 2]

Total

Division

Apps

Goals

Assists

Apps

Goals

Assists

Apps

Goals

Assists

Apps

Goals

Assists

Libourne

2004–05

Championnat National

24
1
3
2
0
0
—
26
1
3

2005–06

31
9
4
3
4
1
—
34
13
5

Total

55
10
7
5
4
1
—
60
14
8

Marseille

2006–07

Ligue 1

15
1
1
2
0
1
1
0
0
18
1
2

2007–08

29
3
2
3
1
0
10
1
0
42
5
2

2008–09

31
3
2
3
0
0
11
0
1
45
3
3

2009–10

31
5
1
6
2
1
6
0
0
43
7
2

2010–11

32
4
4
3
0
0
8
1
1
43
5
5

2011–12

33
5
13
7
3
2
9
1
1
49
9
16

2012–13

37
3
12
4
1
0
8
1
2
49
5
14

2013–14

34
3
6
2
0
0
5
0
0
41
3
6

Total

242
27
41
30
7
4
58
4
5
330
38
50

Dynamo Moscow

2014–15

Russian Premier League

25
4
12
0
0
0
11
0
3
36
4
15

2015–16

4
2
2
0
0
0
0
0
0
4
2
2

Total

29
6
14
0
0
0
11
0
3
40
6
17

Lyon

2015–16

Ligue 1

26
1
5
2
1
0
5
0
1
33
2
6

2016–17

30
8
5
4
1
1
9
1
2
43
10
8

Total

56
9
10
6
2
1
14
1
3
76
12
14

Fenerbahçe

2017–18

Süper Lig

29
7
9
7
1
5
4
0
2
40
10
16

Career total

411
61
80
48
14
11
87
5
13
546
80
104

Can you extract the data from these specific rows or columns in the table provided?
the 12th row,
the 18th row,
the 10th column,
the 22th row,
the 15th row,

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 the 12th row: {"row_id": "12", "cell_list": ['', '2012-13', '', '37', '3', '12', '4', '1', '0', '8', '1', '2', '49', '5', '14']}
For the 18th row: {"row_id": "18", "cell_list": ['lyon', '2015-16', 'ligue 1', '26', '1', '5', '2', '1', '0', '5', '0', '1', '33', '2', '6']}
For the 10th column: {"column_id": "10", "cell_list": ['europe', 'apps', '-', '-', '-', '1', '10', '11', '6', '8', '9', '8', '5', '58', '11', '0', '11', '5', '9', '14', '4', '87']}
For the 22th row: {"row_id": "22", "cell_list": ['career total', '', '', '411', '61', '80', '48', '14', '11', '87', '5', '13', '546', '80', '104']}
For the 15th row: {"row_id": "15", "cell_list": ['dynamo moscow', '2014-15', 'russian premier league', '25', '4', '12', '0', '0', '0', '11', '0', '3', '36', '4', '15']}