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: Alimentum is a decent assessment of clients and offers eating fast food at average prices. nearby there is a Yippee Noodle Bar
Example Output: name[Alimentum], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[riverside], near[Yippee Noodle Bar]

Example Input: Located in Riverside, near The Rice Boat, The Twenty Two is a children friendly restaurant with a high price range and a low customer rating.
Example Output: name[The Twenty Two], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[The Rice Boat]

Example Input: Travellers Rest Beefeater is a low quality and high priced restaurant located near the Café Adriatic by the Riverside.
Example Output:
name[Travellers Rest Beefeater], priceRange[more than £30], customer rating[low], area[riverside], near[Café Adriatic]