Table:
#

Episode

Air date

Rating

Share

18-49 (Rating/Share)

Viewers (m)

Rank (night)

Rank (timeslot)

Rank (overall)

1

"Welcome to the Club"

October 12, 2007

7.3

13

2.5/8

10.82

#1

#1

#26

2

"Train In Vain"

October 19, 2007

6.5

12

2.0/6

9.69

#2

#1

#37

3

"Blind Dates and Bleeding Hearts"

October 26, 2007

6.1

11

1.9/6

8.90

#1

#1

#41

4

"Grannies, Guns, Love Mints"

November 2, 2007

6.4

11

1.9/6

9.47

#1

#1

#35

5

"Maybe, Baby"

November 9, 2007

6.5

11

2.0/6

9.70

#1

#1

#36

6

"Play Through the Pain"

November 15, 2007

6.1

10

3.3/9

8.93

#8

#3

#45

7

"The Past Comes Back to Haunt You"

November 16, 2007

6.2

11

1.7/5

8.94

#4

#1

#41

8

"No Opportunity Necessary"

November 23, 2007

5.3

9

1.6/5

7.76

#3

#1

#45

9

"To Drag & To Hold"

December 7, 2007

5.8

10

1.8/5

8.58

#2

#1

#32

10

"FBI Guy"

January 4, 2008

5.2

9

1.8/5

7.68

#2

#1

#36

11

"Father's Day"

April 29, 2008

5.8

9

1.9/5

8.14

#7

#2

#42

12

"And the Truth Will (Sometimes) Set You Free"

May 6, 2008

6.1

10

2.2/6

8.68

#8

#2

13

"Never Tell"

May 13, 2008

5.8

10

2.1/6

8.46

#2

To complete your task, analyze the table image and identify the positions of the specified cells. Ensure that you represent a cell's location using the JSON format {'value': '<cell value>', 'location': (Row_ID, Column_ID)}, with both row and column IDs starting from 1. Use 'DOES NOT EXIST' as the location for a non-existing cell in the table.
Target cells:
1. 'April 29, 2008',
2. 'Rating',
3. '8.93',
4. '"FBI Guy"',

The coordinates of target cells are listed below.
1. {'value': 'April 29, 2008', 'location': (12, 3)}
2. {'value': 'Rating', 'location': (1, 4)}
3. {'value': '8.93', 'location': (7, 7)}
4. {'value': '"FBI Guy"', 'location': (11, 2)}