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:
La porte-parole de Lutte ouvrière, Nathalie Arthaud, a annoncé jeudi qu'elle serait tête de liste de son parti en Rhône-Alpes aux élections régionales.
Postion	Tokenization
1	La
2	porte-parole
3	de
4	Lutte
5	ouvrière
6	,
7	Nathalie
8	Arthaud
9	,
10	a
11	annoncé
12	jeudi
13	qu'
14	elle
15	serait
16	tête
17	de
18	liste
19	de
20	son
21	parti
22	en
23	Rhône-Alpes
24	aux
25	à
26	les
27	élections
28	régionales
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	porte-parole	NOUN	11	nsubj
3	de	ADP	4	case
4	Lutte	NOUN	2	nmod
5	ouvrière	ADJ	4	amod
6	,	PUNCT	7	punct
7	Nathalie	PROPN	2	appos
8	Arthaud	PROPN	7	flat:name
9	,	PUNCT	7	punct
10	a	AUX	11	aux:tense
11	annoncé	VERB	0	root
12	jeudi	NOUN	11	obl:mod
13	qu'	SCONJ	16	mark
14	elle	PRON	16	nsubj
15	serait	AUX	16	cop
16	tête	NOUN	11	ccomp:obj
17	de	ADP	18	case
18	liste	NOUN	16	nmod
19	de	ADP	21	case
20	son	DET	21	det
21	parti	NOUN	16	nmod
22	en	ADP	23	case
23	Rhône-Alpes	PROPN	16	nmod
24	aux	_	None	_
25	à	ADP	26	case
26	les	DET	26	det
27	élections	NOUN	16	nmod
28	régionales	ADJ	26	amod
29	.	PUNCT	11	punct