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: There is an Indian food restaurant called The Cambridge Blue. Although, they do have a low customer rating.
Example Output: name[The Cambridge Blue], eatType[restaurant], food[Indian], customer rating[low]

Example Input: Italian family friendly near Café Sicilia is The Punter which is a cheap coffee shop with average rating.
Example Output: name[The Punter], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[average], familyFriendly[yes], near[Café Sicilia]

Example Input: Midsummer House is a cheap fast food restaurant near All Bar One. It has an average customer rating.
Example Output:
name[Midsummer House], food[Fast food], priceRange[cheap], customer rating[average], near[All Bar One]