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:
La renommée du ballet est devenue, au cours de cette période, à dimension internationale, notamment avec l'attribution d'un Bessie Award à New York en 1997 pour la chorégraphie Annonciation.
Postion	Tokenization
1	La
2	renommée
3	du
4	de
5	le
6	ballet
7	est
8	devenue
9	,
10	au
11	à
12	le
13	cours
14	de
15	cette
16	période
17	,
18	à
19	dimension
20	internationale
21	,
22	notamment
23	avec
24	l'
25	attribution
26	d'
27	un
28	Bessie
29	Award
30	à
31	New
32	York
33	en
34	1997
35	pour
36	la
37	chorégraphie
38	Annonciation
39	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	renommée	NOUN	7	nsubj
3	du	_	None	_
4	de	ADP	5	case
5	le	DET	5	det
6	ballet	NOUN	2	nmod
7	est	AUX	7	aux:tense
8	devenue	VERB	0	root
9	,	PUNCT	11	punct
10	au	_	None	_
11	à	ADP	11	case
12	le	DET	11	det
13	cours	NOUN	7	obl:mod
14	de	ADP	14	case
15	cette	DET	14	det
16	période	NOUN	11	nmod
17	,	PUNCT	17	punct
18	à	ADP	17	case
19	dimension	NOUN	7	obl:mod
20	internationale	ADJ	17	amod
21	,	PUNCT	23	punct
22	notamment	ADV	23	advmod
23	avec	ADP	23	case
24	l'	DET	23	det
25	attribution	NOUN	7	obl:mod
26	d'	ADP	26	case
27	un	DET	26	det
28	Bessie	PROPN	23	nmod
29	Award	PROPN	26	flat:name
30	à	ADP	29	case
31	New	PROPN	23	nmod
32	York	PROPN	29	flat:name
33	en	ADP	32	case
34	1997	NUM	23	nmod
35	pour	ADP	35	case
36	la	DET	35	det
37	chorégraphie	NOUN	23	nmod
38	Annonciation	PROPN	35	appos
39	.	PUNCT	7	punct