As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
Quality has fallen over the years, but still the best go-to burger place on the East Bay.
Postion	Tokenization
1	Quality
2	has
3	fallen
4	over
5	the
6	years
7	,
8	but
9	still
10	the
11	best
12	go
13	-
14	to
15	burger
16	place
17	on
18	the
19	East
20	Bay
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Quality	NOUN	3	nsubj
2	has	AUX	3	aux
3	fallen	VERB	0	root
4	over	ADP	6	case
5	the	DET	6	det
6	years	NOUN	3	obl
7	,	PUNCT	16	punct
8	but	CCONJ	16	cc
9	still	ADV	11	advmod
10	the	DET	16	det
11	best	ADJ	16	amod
12	go	VERB	16	amod
13	-	PUNCT	12	punct
14	to	ADP	12	obl
15	burger	NOUN	16	compound
16	place	NOUN	3	conj
17	on	ADP	20	case
18	the	DET	20	det
19	East	PROPN	20	compound
20	Bay	PROPN	16	nmod
21	.	PUNCT	3	punct