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:
I have lived in the UTC La Jolla area for many years, and I never new this salon was here until a friend reffered me to see Holly here.
Postion	Tokenization
1	I
2	have
3	lived
4	in
5	the
6	UTC
7	La
8	Jolla
9	area
10	for
11	many
12	years
13	,
14	and
15	I
16	never
17	new
18	this
19	salon
20	was
21	here
22	until
23	a
24	friend
25	reffered
26	me
27	to
28	see
29	Holly
30	here
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	have	AUX	3	aux
3	lived	VERB	0	root
4	in	ADP	9	case
5	the	DET	9	det
6	UTC	PROPN	9	compound
7	La	PROPN	9	compound
8	Jolla	PROPN	7	flat
9	area	NOUN	3	obl
10	for	ADP	12	case
11	many	ADJ	12	amod
12	years	NOUN	3	obl
13	,	PUNCT	17	punct
14	and	CCONJ	17	cc
15	I	PRON	17	nsubj
16	never	ADV	17	advmod
17	new	VERB	3	conj
18	this	DET	19	det
19	salon	NOUN	21	nsubj
20	was	AUX	21	cop
21	here	ADV	17	ccomp
22	until	SCONJ	25	mark
23	a	DET	24	det
24	friend	NOUN	25	nsubj
25	reffered	VERB	17	advcl
26	me	PRON	25	obj
27	to	PART	28	mark
28	see	VERB	25	advcl
29	Holly	PROPN	28	obj
30	here	ADV	28	advmod
31	.	PUNCT	3	punct