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:
Mais Ullrich, après une attaque audacieuse, mais vouée à l'échec, du maillot jaune, s'attache à lui reprendre son bien avec la manière.
Postion	Tokenization
1	Mais
2	Ullrich
3	,
4	après
5	une
6	attaque
7	audacieuse
8	,
9	mais
10	vouée
11	à
12	l'
13	échec
14	,
15	du
16	de
17	le
18	maillot
19	jaune
20	,
21	s'
22	attache
23	à
24	lui
25	reprendre
26	son
27	bien
28	avec
29	la
30	manière
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Mais	CCONJ	21	cc
2	Ullrich	PROPN	21	nsubj
3	,	PUNCT	2	punct
4	après	ADP	6	case
5	une	DET	6	det
6	attaque	NOUN	21	obl:mod
7	audacieuse	ADJ	6	amod
8	,	PUNCT	10	punct
9	mais	CCONJ	10	cc
10	vouée	VERB	7	conj
11	à	ADP	13	case
12	l'	DET	13	det
13	échec	NOUN	10	obl:arg
14	,	PUNCT	17	punct
15	du	_	None	_
16	de	ADP	17	case
17	le	DET	17	det
18	maillot	NOUN	6	nmod
19	jaune	ADJ	17	amod
20	,	PUNCT	6	punct
21	s'	PRON	21	dep:comp
22	attache	VERB	0	root
23	à	ADP	24	mark
24	lui	PRON	24	obl:arg
25	reprendre	VERB	21	xcomp:obl
26	son	DET	26	det
27	bien	NOUN	24	obj
28	avec	ADP	29	case
29	la	DET	29	det
30	manière	NOUN	24	obl:mod
31	.	PUNCT	21	punct