Table:
Club

Season

League

Cup

Continental

Other

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Atlético Paranaense

2008

Série A

1
0
0
0
–
0
0
1
0

2009

16
0
0
0
–
8[a]
1
24
1

Total

17
0
0
0
–
8
1
25
1

Santos

2010

Série A

24
1
4
1
–
1[b]
1
29
3

2011

6
0
–
11[c]
0
7[b]
0
24
0

Total

30
1
4
1
11
0
8
1
53
3

Porto

2011–12

Primeira Liga

7
1
0
0
1[d]
0
3[e]
0
11
1

2012–13

25
1
0
0
6[f]
0
5[e]
0
36
1

2013–14

26
0
5
0
11[g]
0
5[h]
0
47
0

2014–15

28
1
0
0
11[f]
0
1[e]
0
40
1

2015–16

1
0
0
0
0
0
0
0
1
0

Total

87
3
5
0
29
0
14
0
135
3

Juventus

2015–16

Serie A

22
2
5
0
5[f]
0
—
32
2

2016–17

27
3
4
0
11[f]
0
1[i]
0
43
3

2017–18

26
4
2
0
10[f]
0
1[i]
0
39
4

2018–19

21
0
2
0
7[f]
0
1[i]
0
31
0

Total

96
9
13
0
33
0
3
0
145
9

Career total

230
13
22
1
73
0
33
2
358
16

Look at the provided table image. Your goal is to find the locations of the specified cells. Remember to represent a cell's location using the JSON {'value': '<cell value>', 'location': (row number, column number)}. Both row and column number begin from 1. Represent the location as 'DOES NOT EXIST' if a cell is not present in the table.
Target cells:
CELL VALUE 1: '2012-13';
CELL VALUE 2: 'porto';
CELL VALUE 3: 'Ajax';
CELL VALUE 4: '47';
CELL VALUE 5: '238';
CELL VALUE 6: '2001';
CELL VALUE 7: 'Darío Cvitanich';

The coordinates of target cells are listed below.
CELL LOCATION 1: {'value': '2012-13', 'location': (10, 2)}
CELL LOCATION 2: {'value': 'porto', 'location': (9, 1)}
CELL LOCATION 3: {'value': 'Ajax', 'location': 'DOES NOT EXIST'}
CELL LOCATION 4: {'value': '47', 'location': (11, 12)}
CELL LOCATION 5: {'value': '238', 'location': (20, 4)}
CELL LOCATION 6: {'value': '2001', 'location': 'DOES NOT EXIST'}
CELL LOCATION 7: {'value': 'Darío Cvitanich', 'location': 'DOES NOT EXIST'}