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:
Elle a fait ses débuts professionnels dans le chant en 1972 au Central City Opera où elle interprétait le rôle de Nannetta dans Falstaff de Verdi.
Postion	Tokenization
1	Elle
2	a
3	fait
4	ses
5	débuts
6	professionnels
7	dans
8	le
9	chant
10	en
11	1972
12	au
13	à
14	le
15	Central
16	City
17	Opera
18	où
19	elle
20	interprétait
21	le
22	rôle
23	de
24	Nannetta
25	dans
26	Falstaff
27	de
28	Verdi
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	3	nsubj
2	a	AUX	3	aux:tense
3	fait	VERB	0	root
4	ses	DET	5	det
5	débuts	NOUN	3	obj
6	professionnels	ADJ	5	amod
7	dans	ADP	9	case
8	le	DET	9	det
9	chant	NOUN	3	obl:mod
10	en	ADP	11	case
11	1972	NUM	3	obl:mod
12	au	_	None	_
13	à	ADP	14	case
14	le	DET	14	det
15	Central	X	3	obl:mod
16	City	X	14	flat:foreign
17	Opera	X	15	flat:foreign
18	où	ADV	19	advmod
19	elle	PRON	19	nsubj
20	interprétait	VERB	14	acl:relcl
21	le	DET	21	det
22	rôle	NOUN	19	obj
23	de	ADP	23	case
24	Nannetta	PROPN	21	nmod
25	dans	ADP	25	case
26	Falstaff	PROPN	19	obl:mod
27	de	ADP	27	case
28	Verdi	PROPN	25	nmod
29	.	PUNCT	3	punct