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 Eagle is a moderately priced restaurant that gets a 1 out of 5 rating and is located at the city centre.
Example Output: name[The Eagle], priceRange[moderate], customer rating[1 out of 5], area[city centre]

Example Input: The coffee shop The Golden Palace is north of the city centre. It serves expensive food and has a 5 star rating.
Example Output: name[The Golden Palace], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], area[riverside]

Example Input: A kid friendly coffee shop is Cocum, offering high customer ratings and £30 dining options.
Example Output:
name[Cocum], eatType[coffee shop], food[English], priceRange[more than £30], customer rating[high], familyFriendly[yes]