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:
Après des études au Conservatoire de Paris, François Rozet travaille avec succès au théâtre en France (il joue Le Cid à L'Odéon).
Postion	Tokenization
1	Après
2	des
3	études
4	au
5	à
6	le
7	Conservatoire
8	de
9	Paris
10	,
11	François
12	Rozet
13	travaille
14	avec
15	succès
16	au
17	à
18	le
19	théâtre
20	en
21	France
22	(
23	il
24	joue
25	Le
26	Cid
27	à
28	L'
29	Odéon
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	case
2	des	DET	3	det
3	études	NOUN	12	obl:mod
4	au	_	None	_
5	à	ADP	6	case
6	le	DET	6	det
7	Conservatoire	PROPN	3	nmod
8	de	ADP	8	case
9	Paris	PROPN	6	nmod
10	,	PUNCT	3	punct
11	François	PROPN	12	nsubj
12	Rozet	PROPN	10	flat:name
13	travaille	VERB	0	root
14	avec	ADP	14	case
15	succès	NOUN	12	obl:mod
16	au	_	None	_
17	à	ADP	17	case
18	le	DET	17	det
19	théâtre	NOUN	12	obl:mod
20	en	ADP	19	case
21	France	PROPN	17	nmod
22	(	PUNCT	22	punct
23	il	PRON	22	nsubj
24	joue	VERB	12	parataxis
25	Le	DET	24	det
26	Cid	PROPN	22	obj
27	à	ADP	27	case
28	L'	DET	27	det
29	Odéon	PROPN	22	obl:mod
30	)	PUNCT	22	punct
31	.	PUNCT	12	punct