Table:
Week

Date

TV Time

Opponent

Result

Attendance

1

September 6, 1998

FOX 1:05 pm MT

at Dallas Cowboys

L 38–10

63,602

2

September 13, 1998

FOX 1:15 pm MT

at Seattle Seahawks

L 33–14

57,678

3

September 20, 1998

ESPN 5:15 pm MT

Philadelphia Eagles

W 17–3

39,782

4

September 27, 1998

FOX 10:00 am MT

at St. Louis Rams

W 20–17

55,832

5

October 4, 1998

CBS 1:05 pm MT

Oakland Raiders

L 23–20

53,240

6

October 11, 1998

FOX 1:05 pm MT

Chicago Bears

W 20–7

50,495

7

October 18, 1998

FOX 10:00 am MT

at New York Giants

L 34–7

70,456

8

Bye

9

November 1, 1998

FOX 11:00 am MT

at Detroit Lions

W 17–15

66,087

10

November 8, 1998

FOX 2:15 pm MT

Washington Redskins

W 29–27

45,950

11

November 15, 1998

FOX 2:15 pm MT

Dallas Cowboys

L 35–28

71,670

12

November 22, 1998

FOX 11:00 am MT

at Washington Redskins

W 45–42

63,435

13

November 29, 1998

FOX 11:00 am MT

at Kansas City Chiefs

L 34–24

69,613

14

December 6, 1998

FOX 2:15 pm MT

New York Giants

L 23–19

46,128

15

December 13, 1998

FOX 11:00 am MT

at Philadelphia Eagles

W 20–17

62,176

16

December 20, 1998

FOX 2:05 pm MT

New Orleans Saints

W 19–17

51,617

17

December 27, 1998

CBS 2:05 pm MT

San Diego Chargers

W 16–13

71,670

Analyze the provided table and identify the locations of these cells:
1. '9',
2. 'pretzel stand',
3. 'September 6, 1998',
4. 'at Seattle Seahawks',
5. '8',
6. 'San Diego Chargers',
Provide the cell locations using the JSON format {'value': '<cell value>', 'location': (row_id, column_id)}, where row and column id start from 1. Use 'DOES NOT EXIST' as the location for a non-existing cell in the table.

The coordinates of target cells are listed below.
1. {'value': '9', 'location': (10, 1)}
2. {'value': 'pretzel stand', 'location': 'DOES NOT EXIST'}
3. {'value': 'September 6, 1998', 'location': (2, 2)}
4. {'value': 'at Seattle Seahawks', 'location': (3, 4)}
5. {'value': '8', 'location': (9, 1)}
6. {'value': 'San Diego Chargers', 'location': (18, 4)}