Table:
Club

Season

League

National Cup

Continental

Other

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Cercle Brugge

2013–14

Belgian Pro League

34
5
3
2
-
-
37
7

2014–15

30
8
2
0
-
-
32
8

Total

64
13
5
2
-
-
-
-
69
15

Astana

2015

Kazakhstan Premier League

13
5
2
0
10
0
0
0
25
5

2016

13
5
2
3
12
2
0
0
27
10

2017

31
19
0
0
11
4
1
0
43
23

Total

57
29
4
3
33
6
1
0
95
38

Kardemir Karabükspor (loan)

2015–16

TFF First League

7
2
0
0
–
–
7
2

Al-Nassr

2017–18

Saudi Professional League

6
4
1
0
–
–
7
4

Astana (loan)

2018

Kazakhstan Premier League

6
0
0
0
11
0
–
17
0

Career total

140
48
10
5
44
6
1
0
196
59

Based on the provided table, please extract the cells' values in the following rows or columns. Show the cells in each row or column in the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For example, {"row_id":"3", "cell_list": ["A", "B", "C"]}.
Target row or column indices:
the 14th row
the 6th column
the 10th column
the 9th column

The cell values of target rows or columns are as follows:
For the 14th row: {"row_id": "14", "cell_list": ['astana', '2018', 'kazakhstan premier league', '6', '0', '0', '0', '11', '0', '-', '', '17', '0']}
For the 6th column: {"column_id": "6", "cell_list": ['national cup', 'apps', '3', '2', '5', '2', '2', '0', '4', '0', '1', '0', '1', '0', '0', '0', '10']}
For the 10th column: {"column_id": "10", "cell_list": ['other', 'apps', '37', '32', 'none', '0', '0', '1', '1', '7', '7', '0', 'none', '-', '1', '1', '2']}
For the 9th column: {"column_id": "9", "cell_list": ['', 'goals', '', '', 'none', '0', '2', '4', '6', '', '', '', 'none', '0', '0', '0', '6']}