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:
Le 9 mai, la CGT fait voter la reprise du travail aux deux tiers, mais certains demeurent en grève qui paralyse l'usine.
Postion	Tokenization
1	Le
2	9
3	mai
4	,
5	la
6	CGT
7	fait
8	voter
9	la
10	reprise
11	du
12	de
13	le
14	travail
15	aux
16	à
17	les
18	deux
19	tiers
20	,
21	mais
22	certains
23	demeurent
24	en
25	grève
26	qui
27	paralyse
28	l'
29	usine
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	9	NUM	8	obl:mod
3	mai	NOUN	2	nmod
4	,	PUNCT	2	punct
5	la	DET	6	det
6	CGT	PROPN	8	nsubj:caus
7	fait	AUX	8	aux:caus
8	voter	VERB	0	root
9	la	DET	10	det
10	reprise	NOUN	8	obj
11	du	_	None	_
12	de	ADP	13	case
13	le	DET	13	det
14	travail	NOUN	10	nmod
15	aux	_	None	_
16	à	ADP	17	case
17	les	DET	17	det
18	deux	NUM	17	nummod
19	tiers	NOUN	10	nmod
20	,	PUNCT	21	punct
21	mais	CCONJ	21	cc
22	certains	PRON	21	nsubj
23	demeurent	VERB	8	conj
24	en	ADP	23	case
25	grève	NOUN	21	obl:mod
26	qui	PRON	25	nsubj
27	paralyse	VERB	23	acl:relcl
28	l'	DET	27	det
29	usine	NOUN	25	obj
30	.	PUNCT	8	punct