Table:
immigrant class

family
economic
business
dependants
refugees

percent distribution

industry

construction of buildings
3.5
2.6
1.8
2.0
4.9

specialty trade contractors
6.9
5.0
2.6
3.7
10.1

manufacturing
1.7
1.5
1.5
1.3
1.8

wholesale trade
1.0
1.3
1.4
1.1
1.0

retail trade
5.3
6.6
7.6
6.7
5.5

truck transportation
5.4
2.5
1.0
1.5
6.0

transit and ground passenger transportation
5.9
5.1
0.9
1.1
9.4

lessors of real estate
13.9
16.8
37.9
22.6
11.5

offices of real estate agents and brokers
1.6
2.8
1.5
2.3
1.4

accounting, tax preparation, bookkeeping and payroll services
1.9
2.8
1.2
2.5
1.3

architectural, engineering and related services
0.4
1.6
0.5
0.7
0.5

computer systems design and related services
0.7
2.5
0.3
1.4
0.6

management, scientific and technical consulting services
3.3
7.4
5.7
4.9
2.5

services to buildings and dwellings
13.0
10.5
8.2
11.9
14.8

offices of physicians
0.9
2.1
0.3
1.8
0.7

offices of dentists
0.4
0.4
0.2
0.9
0.4

child day-care services
10.7
2.9
1.3
6.8
5.3

food services and drinking places
1.0
0.9
1.0
0.9
1.1

all other industries
22.4
24.6
25.0
26.1
21.0

total
100.0
100.0
100.0
100.0
100.0

number

total
119,094
81,116
16,070
88,902
66,056

percent

knowledge-based industries
5.8
13.8
7.5
9.0
4.7

I need you to conduct the following task:
Given this table image, find all merged table cells and return merged regions with the JSON {'top-left':(X1, Y1), 'bottom-right':(X2, Y2)},  where (X1, Y1) and (X2, Y2) indicate the (row_id, column_id) of top-left and bottom-right cells in the merged regions, respectively. You should remember that row id and column id start from 1.

The merged cell areas are as follows:
{'top-left':(1, 1), 'bottom-right':(3, 1)}
{'top-left':(1, 2), 'bottom-right':(1, 6)}
{'top-left':(3, 2), 'bottom-right':(3, 6)}
{'top-left':(4, 2), 'bottom-right':(4, 6)}
{'top-left':(25, 2), 'bottom-right':(25, 6)}
{'top-left':(27, 2), 'bottom-right':(27, 6)}.