Table:
Party

Votes[a]

%

Seats

+/–

Social Democratic Party
2,107,100
27.2
56
+12

Centre Party
1,455,100
18.8
102
+6

National Liberal Party
971,300
12.5
46
−7

German Conservative Party
859,200
11.1
56
−16

Free-minded People's Party
558,300
7.2
29
+5

German Reich Party
343,600
4.5
23
−5

Anti-Semites
284,300
3.7
13
−3

Polish Party
244,100
3.1
14
−5

Free-minded Union
195,700
2.5
12
−1

Bavarian Peasants' League
140,300
1.8
5
+1

German Agrarian League
110,400
1.4
6
New

German People's Party
108,500
1.4
8
−3

Alsace-Lorraine Party
107,400
1.3
10
+2

German-Hanoverian Party
105,200
1.3
9
+2

Danish Party
15,000
0.2
1
0

Others
146,800
2.0
7
+6

Invalid/blank votes
34,000
–
–
–

Total
7,786,700
100
397
0

Registered voters/turnout
11,441,100
68.1
–
–

Source: Nohlen & Stöver, DGDB

Considerding the provided table image, extract the cells' values in the following postions:
row 11 and column 5,
row 20 and column 4,
row 8 and column 1,
row 1 and column 4,
row 9 and column 3,
row 20 and column 1,
row 19 and column 1,

Return each cell value as JSON in the format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.

The extracted cell contents are listed below.
{"row_id":"11", "column_id":"5", "cell_value":"+1"}
{"row_id":"20", "column_id":"4", "cell_value":"–"}
{"row_id":"8", "column_id":"1", "cell_value":"Anti-Semites"}
{"row_id":"1", "column_id":"4", "cell_value":"Seats"}
{"row_id":"9", "column_id":"3", "cell_value":"3.1"}
{"row_id":"20", "column_id":"1", "cell_value":"Registered voters/turnout"}
{"row_id":"19", "column_id":"1", "cell_value":"Total"}