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 All Bar One, Midsummer House serves Indian food for high prices and is rated one out of five stars.
Example Output: name[Midsummer House], food[Indian], priceRange[high], customer rating[1 out of 5], near[All Bar One]

Example Input: There is an average priced British pub called Wildwood. It has a 3 out of 5 customer rating.
Example Output: name[Wildwood], eatType[pub], food[English], priceRange[moderate], customer rating[3 out of 5]

Example Input: with high prices and high rating The Golden Palace is a coffee shop with fast food
Example Output:
name[The Golden Palace], eatType[coffee shop], food[Fast food], priceRange[more than £30], customer rating[high], area[riverside]