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:
De nouveau doublure de Fabien Barthez, il accepte cette fois de disputer le dernier match du premier tour, sans réel enjeu, contre les Pays-Bas.
Postion	Tokenization
1	De
2	nouveau
3	doublure
4	de
5	Fabien
6	Barthez
7	,
8	il
9	accepte
10	cette
11	fois
12	de
13	disputer
14	le
15	dernier
16	match
17	du
18	de
19	le
20	premier
21	tour
22	,
23	sans
24	réel
25	enjeu
26	,
27	contre
28	les
29	Pays-Bas
30	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	3	advmod
2	nouveau	ADJ	1	fixed
3	doublure	NOUN	9	advcl
4	de	ADP	5	case
5	Fabien	PROPN	3	nmod
6	Barthez	PROPN	5	flat:name
7	,	PUNCT	3	punct
8	il	PRON	9	nsubj
9	accepte	VERB	0	root
10	cette	DET	11	det
11	fois	NOUN	9	obl:mod
12	de	ADP	13	mark
13	disputer	VERB	9	xcomp:obj
14	le	DET	16	det
15	dernier	ADJ	16	amod
16	match	NOUN	13	obj
17	du	_	None	_
18	de	ADP	20	case
19	le	DET	20	det
20	premier	ADJ	20	amod
21	tour	NOUN	16	nmod
22	,	PUNCT	24	punct
23	sans	ADP	24	case
24	réel	ADJ	24	amod
25	enjeu	NOUN	16	nmod
26	,	PUNCT	28	punct
27	contre	ADP	28	case
28	les	DET	28	det
29	Pays-Bas	PROPN	16	nmod
30	.	PUNCT	9	punct