In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: Near Clare Hall along side the river is a sushi place called 'Bibimbap House', it is very expensive.
Example Output: name[Bibimbap House], food[Japanese], priceRange[more than £30], area[riverside], near[Clare Hall]

Example Input: The Waterman provides Chinese food. Its price range is moderate and it has a customer rating of 1 out of 5. It is in the city centre and it is not kids friendly.
Example Output: name[The Waterman], food[Chinese], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[no]

Example Input: Serving French cuisine, The Waterman is in city centre with a low customer rating. Not children friendly.
Example Output:
name[The Waterman], food[French], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no]