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 Golden Palace is a very cheap restaurant located in the centre of the city and delivers take away.
Example Output: name[The Golden Palace], eatType[coffee shop], food[Fast food], priceRange[less than £20], customer rating[low], area[riverside]

Example Input: An average rated, cheap, family-friendly pub can be found at Cocum.
Example Output: name[Cocum], eatType[pub], priceRange[cheap], customer rating[average], familyFriendly[yes]

Example Input: The Punter is right off of the river in The Portland Arms, is cheap, and is not a family friendly environment.
Example Output:
name[The Punter], priceRange[less than £20], area[riverside], familyFriendly[no], near[The Portland Arms]