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:
Hello my name is Vera and I'm writing a review about my own counseling practice in Bellevue, WA. and in Renton WA.
Postion	Tokenization
1	Hello
2	my
3	name
4	is
5	Vera
6	and
7	I'm
8	I
9	'm
10	writing
11	a
12	review
13	about
14	my
15	own
16	counseling
17	practice
18	in
19	Bellevue
20	,
21	WA.
22	and
23	in
24	Renton
25	WA
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Hello	INTJ	5	discourse
2	my	PRON	3	nmod:poss
3	name	NOUN	5	nsubj
4	is	AUX	5	cop
5	Vera	PROPN	0	root
6	and	CCONJ	9	cc
7	I'm	_	None	_
8	I	PRON	9	nsubj
9	'm	AUX	9	aux
10	writing	VERB	5	conj
11	a	DET	11	det
12	review	NOUN	9	obj
13	about	ADP	16	case
14	my	PRON	16	nmod:poss
15	own	ADJ	16	amod
16	counseling	NOUN	16	compound
17	practice	NOUN	11	nmod
18	in	ADP	18	case
19	Bellevue	PROPN	16	nmod
20	,	PUNCT	18	punct
21	WA.	PROPN	18	appos
22	and	CCONJ	23	cc
23	in	ADP	23	case
24	Renton	PROPN	18	conj
25	WA	PROPN	23	appos
26	.	PUNCT	5	punct