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:
Et là, Brook lui propose de rejoindre la troupe pour l'adaptation du spectacle qu'il prépare en français, avec William Nadylam, cette fois, dans le rôle-titre.
Postion	Tokenization
1	Et
2	là
3	,
4	Brook
5	lui
6	propose
7	de
8	rejoindre
9	la
10	troupe
11	pour
12	l'
13	adaptation
14	du
15	de
16	le
17	spectacle
18	qu'
19	il
20	prépare
21	en
22	français
23	,
24	avec
25	William
26	Nadylam
27	,
28	cette
29	fois
30	,
31	dans
32	le
33	rôle-titre
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Et	CCONJ	6	cc
2	là	ADV	6	advmod
3	,	PUNCT	2	punct
4	Brook	PROPN	6	nsubj
5	lui	PRON	6	obl:arg
6	propose	VERB	0	root
7	de	ADP	8	mark
8	rejoindre	VERB	6	xcomp:obj
9	la	DET	10	det
10	troupe	NOUN	8	obj
11	pour	ADP	13	case
12	l'	DET	13	det
13	adaptation	NOUN	8	obl:mod
14	du	_	None	_
15	de	ADP	16	case
16	le	DET	16	det
17	spectacle	NOUN	13	nmod
18	qu'	PRON	19	obj
19	il	PRON	19	nsubj
20	prépare	VERB	16	acl:relcl
21	en	ADP	21	case
22	français	NOUN	19	obl:mod
23	,	PUNCT	24	punct
24	avec	ADP	24	case
25	William	PROPN	19	obl:mod
26	Nadylam	PROPN	24	flat:name
27	,	PUNCT	28	punct
28	cette	DET	28	det
29	fois	NOUN	24	nmod
30	,	PUNCT	32	punct
31	dans	ADP	32	case
32	le	DET	32	det
33	rôle-titre	NOUN	24	nmod
34	.	PUNCT	6	punct