Table:
Month	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec	Year

Average high °F (°C)	37.1

(2.8)	39.7

(4.3)	47.2

(8.4)	57.6

(14.2)	67.6

(19.8)	77.0

(25)	82.1

(27.8)	80.8

(27.1)	74.0

(23.3)	63.2

(17.3)	53.1

(11.7)	42.3

(5.7)	60.1

(15.6)

Average low °F (°C)	23.1

(−4.9)	25.2

(−3.8)	31.4

(−0.3)	41.0

(5)	50.5

(10.3)	60.2

(15.7)	66.3

(19.1)	65.6

(18.7)	58.0

(14.4)	46.4

(8)	37.9

(3.3)	28.4

(−2)	44.5

(6.9)

Precipitation inches (mm)	3.10

(78.7)	2.79

(70.9)	4.04

(102.6)	4.13

(104.9)	3.80

(96.5)	3.64

(92.5)	3.46

(87.9)	3.96

(100.6)	3.48

(88.4)	3.64

(92.5)	3.39

(86.1)	3.33

(84.6)	42.75

(1,085.9)

Snowfall inches (cm)	6.8

(17.3)	5.7

(14.5)	3.2

(8.1)	.8

(2)	0

(0)	0

(0)	0

(0)	0

(0)	0

(0)	0

(0)	.2

(0.5)	4.8

(12.2)	21.4

(54.4)

Avg. precipitation days (≥ 0.01 inch)	10.9	9.7	11.3	11.0	11.8	11.1	8.9	8.9	8.2	8.8	10.0	11.1	121.7

Avg. snowy days (≥ 0.1 inch)	5.0	3.6	2.4	.3	0	0	0	0	0	0	.5	3.1	15.0

In this task, you are provided with a table image and several target cells. You are required to determine the positions of these cells, which can be represented in the json {'value': '<cell value>', 'location': (row number, column number)}, with both row number and column number start from 1. Use 'DOES NOT EXIST' as the location for a non-existing cell in the table.
Cell values are shown below:
(1) '47.2\n(8.4)',
(2) '23.1\n(−4.9)',
(3) '4.04\n(102.6)',

The coordinates of target cells are listed below.
(1) {'value': '47.2\n(8.4)', 'location': (2, 4)}
(2) {'value': '23.1\n(−4.9)', 'location': (3, 2)}
(3) {'value': '4.04\n(102.6)', 'location': (4, 4)}