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 Cambridge Blue is a restaurant serving Japanese food. It has an average customer rating.
Example Output: name[The Cambridge Blue], eatType[restaurant], food[Japanese], customer rating[average]

Example Input: A restaurant in the riverside area, The Phoenix, offers English food in the lower price range but has a low customer rating.
Example Output: name[The Phoenix], food[English], priceRange[less than £20], customer rating[low], area[riverside]

Example Input: The family-friendly Japanese coffee shop located at city centre is called Fitzbillies and has a low customer rating.
Example Output:
name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[yes]