Table:
#

Name

Term[N 2]

Regular season

Playoffs

Accomplishments

Ref.

Yrs

First

Last

GC

W

L

T

Win%

GC

W

L

1

Tom Coughlin

8

1995

2002

128

68

60

0

.531

8

4

4

2 AFC Central Championships (1998, 1999)
4 Playoff Berths

[3]

2

Jack Del Rio

9

2003

2011[N 3]

139

68

71

0

.489

3

1

2

2 Playoff Berths

[4]

3

Mel Tucker*

1

2011[N 3]

5

2

3

0

.400

—

[5]

4

Mike Mularkey

1

2012

16

2

14

0

.125

—

[6]

5

Gus Bradley*

4

2013

2016[N 4]

62

14

48

0

.226

—

[7]

6

Doug Marrone

3

2016[N 4]

present

34

16

18

0

.471

3

2

1

1 AFC South Championship (2017)
1 Playoff Berth

[8]

Given a table, you can represent a cell's position using the JSON {'value': '<cell value>', 'location': (row index, column index)}, where row and column indices start from 1. Referring to the shown table picture, determine the locations of the specified cells using the mentioned format.
Target cell values:
CELL VALUE 1: '34';
CELL VALUE 2: '.531';
CELL VALUE 3: '2003';
CELL VALUE 4: 'jack del rio';
CELL VALUE 5: '2 afc central championships (1998, 1999) 4 playoff berths';
CELL VALUE 6: '6';
CELL VALUE 7: 'gus bradley';
Should a cell be absent in the table, denote its location as 'DOES NOT EXIST'.

The coordinates of target cells are listed below.
CELL LOCATION 1: {'value': '34', 'location': (8, 6)}
CELL LOCATION 2: {'value': '.531', 'location': (3, 10)}
CELL LOCATION 3: {'value': '2003', 'location': (4, 4)}
CELL LOCATION 4: {'value': 'jack del rio', 'location': (4, 2)}
CELL LOCATION 5: {'value': '2 afc central championships (1998, 1999) 4 playoff berths', 'location': (3, 14)}
CELL LOCATION 6: {'value': '6', 'location': (8, 1)}
CELL LOCATION 7: {'value': 'gus bradley', 'location': (7, 2)}