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 Phoenix is a restaurant located right along the water just outside of the City Centre. The prices as well as the reviews are decent.
Example Output: name[The Phoenix], food[English], priceRange[cheap], customer rating[average], area[riverside]

Example Input: A pub that is not children friendly is Cocum. The customer rating is 5 out of 5 and the price range is more than 30.
Example Output: name[Cocum], eatType[pub], priceRange[more than £30], customer rating[5 out of 5], familyFriendly[no]

Example Input: In the city centre, near Burger King, you will find The Eagle. It is a non children-friendly coffee shop that serves Indian food. While its price range is quite high, more than £30, it has a high customer ratings.
Example Output:
name[The Eagle], eatType[coffee shop], food[Indian], priceRange[more than £30], customer rating[high], area[city centre], familyFriendly[no], near[Burger King]

