Task: header-value-matching (source dataset: TableGPT)

Given the input table data and the list of candidate headers, please determine the most suitable column header for each column in the table. Please only choose column headers from the candidate list. Please only return the most suitable column header for each column. Return the chosen column headers in a list. Do not return the entire table. No explanation and return your answer in JSON format: {"column_headers": "<a list of headers for each column chosen from the candidate list>"}.

Table Data:
| Col_0          |   Col_1 |   Col_2 |   Col_3 |   Col_4 |   Col_5 |   Col_6 |   Col_7 |   Col_8 |   Col_9 |   Col_10 |   Col_11 |   Col_12 |   Col_13 |   Col_14 |   Col_15 |   Col_16 |   Col_17 |   Col_18 |   Col_19 |
|:---------------|--------:|--------:|--------:|--------:|--------:|--------:|--------:|--------:|--------:|---------:|---------:|---------:|---------:|---------:|---------:|---------:|---------:|---------:|---------:|
| Fred Astaire   |     795 |      25 |   19875 |     704 |      30 |   21120 |     544 |      35 |   19040 |      192 |       25 |     4800 |      792 |       25 |    19800 |    84635 |    75000 |  7617.15 |    75750 |
| Rita Hayworth  |     768 |      25 |   19200 |     824 |      30 |   24720 |     528 |      35 |   18480 |      315 |       25 |     7875 |      692 |       25 |    17300 |    87575 |    75000 |  7881.75 |    83495 |
| John Barrymore |     655 |      25 |   16375 |     684 |      30 |   20520 |     421 |      35 |   14735 |      202 |       25 |     5050 |      624 |       25 |    15600 |    72280 |    65000 |  6505.2  |    66804 |
| Lucille Ball   |     823 |      25 |   20575 |     795 |      30 |   23850 |     683 |      35 |   23905 |      327 |       25 |     8175 |      803 |       25 |    20075 |    96580 |    75000 |  8692.2  |    78536 |
| Gary Cooper    |     925 |      25 |   23125 |     902 |      30 |   27060 |     627 |      35 |   21945 |      346 |       25 |     8650 |      917 |       25 |    22925 |   103705 |    75000 |  9333.45 |    89047 |

Candidate column headers:
Employee
2014 Total Individual Plant Sales 
Total Sales of Snake Fruit Plant
Number of Voodo Lily Plants Sold
Price per Indian Devil Tree Plant
Total Sales of Voodo Lily Plants
Total Sales of Corpse Flower Plants
2014 Goal Total Plant Sales 
Total Sales of Indian Devil Tree Plant
Commision
Number of Corpse Flower Plants Sold 
Price per Snake Fruit Plant
Price per Voodo Lily Plant
Total Sales of Medusa Flower Plants
Price per Corpse Flower Plants
2013  Total Individual Plant Sales
Number of Medusa Flower Plants Sold
Number of Snake Fruit Plants Sold
Price Per Medusa Flower Plant
Number of Indian Devil Tree Plants Sold



headers: Employee
2014 Total Individual Plant Sales 
Total Sales of Snake Fruit Plant
Number of Voodo Lily Plants Sold
Price per Indian Devil Tree Plant
Total Sales of Voodo Lily Plants
Total Sales of Corpse Flower Plants
2014 Goal Total Plant Sales 
Total Sales of Indian Devil Tree Plant
Commision
Number of Corpse Flower Plants Sold 
Price per Snake Fruit Plant
Price per Voodo Lily Plant
Total Sales of Medusa Flower Plants
Price per Corpse Flower Plants
2013  Total Individual Plant Sales
Number of Medusa Flower Plants Sold
Number of Snake Fruit Plants Sold
Price Per Medusa Flower Plant
Number of Indian Devil Tree Plants Sold
label: Employee
Number of Voodo Lily Plants Sold
Price per Voodo Lily Plant
Total Sales of Voodo Lily Plants
Number of Corpse Flower Plants Sold 
Price per Corpse Flower Plants
Total Sales of Corpse Flower Plants
Number of Indian Devil Tree Plants Sold
Price per Indian Devil Tree Plant
Total Sales of Indian Devil Tree Plant
Number of Snake Fruit Plants Sold
Price per Snake Fruit Plant
Total Sales of Snake Fruit Plant
Number of Medusa Flower Plants Sold
Price Per Medusa Flower Plant
Total Sales of Medusa Flower Plants
2014 Total Individual Plant Sales 
2014 Goal Total Plant Sales 
Commision
2013  Total Individual Plant Sales