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 area, price range 23, Bibimbap House, McDonalds.
Example Output: name[Bibimbap House], food[Fast food], priceRange[£20-25], area[riverside], near[Clare Hall]

Example Input: Cotto is a coffee shop near The Portland Arms  situated by the river serving French food of a higher price range with an average customer rating of 3 out of 5.
Example Output: name[Cotto], eatType[coffee shop], food[French], priceRange[high], customer rating[3 out of 5], area[riverside], near[The Portland Arms]

Example Input: For a Japanese coffee Shop which is family friendly go to The Cricketers. They are near The Portland Arms and have a 5 out of 5 rating
Example Output:
name[The Cricketers], eatType[coffee shop], food[Japanese], customer rating[5 out of 5], familyFriendly[yes], near[The Portland Arms]