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: The Wrestlers provides Indian food in the moderate price range.  It has a customer rating of 1 out of 5 and is not kid friendly.
Example Output: name[The Wrestlers], food[Indian], priceRange[moderate], customer rating[1 out of 5], familyFriendly[no]

Example Input: The Punter is a great fast food joint that is not too expensive.
Example Output: name[The Punter], food[Fast food], priceRange[moderate]

Example Input: Aromi is a coffee shop providing Indian food It is located in the riverside. Its customer rating is low.
Example Output:
name[Aromi], eatType[coffee shop], food[Indian], customer rating[low], area[riverside], familyFriendly[no]