Table:
Club

Season

League

Cup

Continental

Total

Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

River Plate

1945

1

0

0

0

0

0

1

0

Huracán (loan)

1946

25

10

2

0

0

0

27

10

Total

25
10
2
0
0
0
27
10

River Plate

1947

30

27

0

0

2

1

32

28

1948

23

13

1

1

6

4

30

18

1949

12

9

0

0

0

0

12

9

Total

66
49
1
1
8
5
75
55

Millonarios

1949

14

16

0

0

0

0

14

16

1950

29

23

2

1

0

0

31

24

1951

34

32

4?

4?

0

0

38?

36?

1952

24

19

4?

5?

0

0

28?

24?

Total

101
90
10
10
0
0
111
100

Real Madrid

1953–54

28

27

0

0

0

0

28

27

1954–55

30

25

0

0

2

0

32

25

1955–56

30

24

0

0

7

5

37

29

1956–57

30

31

3

3

10

9

43

43

1957–58

30

19

7

7

7

10

44

36

1958–59

28

23

8

5

7

6

43

34

1959–60

23

12

5

3

6

8

34

23

1960–61

23

21

9

8

4

1

36

30

1961–62

23

11

8

4

10

7

41

22

1962–63

13

12

9

9

2

1

24

22

1963–64

24

11

1

1

9

5

34

17

Total

282
216
50
40
64
52
396
308

Espanyol

1964–65

24

7

3

2

0

0

27

9

1965–66

23

4

4

1

6

0

33

5

Total

47
11
7
3
6
0
60
14

Career totals

521
376
70
54
78
57
669
487

Given a table image, your task is to extract the cells' values in the following rows:
row 9
row 5

Task requirements: The cells in a row should be presented in the JSON format of {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}, e.g., {"row_id":"3", "cell_list": ["xxx", "yyy", "zzz"]}.

The extracted row contents are listed below.
For row 9: {"row_id": "9", "cell_list": ['', 'total', '66', '49', '1', '1', '8', '5', '75', '55']}
For row 5: {"row_id": "5", "cell_list": ['', 'total', '25', '10', '2', '0', '0', '0', '27', '10']}