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: Fitzbillies is a coffee shop providing take-away deliveries in the low price range, located near the river.
Example Output: name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[no]

Example Input: Alimentum has a customer rating of 1 out of 5 and serves moderately priced Italian food near Yippee Noodle Bar in the riverside area.
Example Output: name[Alimentum], food[Italian], priceRange[moderate], customer rating[1 out of 5], area[riverside], near[Yippee Noodle Bar]

Example Input: The Wrestlers, serves burger and fries at a cost effective price.
Example Output:
name[The Wrestlers], food[Fast food], priceRange[less than £20], customer rating[low], familyFriendly[yes]