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 cabalette de Zerline, rajoutée en 1857 pour la version italienne et empruntée à une œuvre de jeunesse, demande à la chanteuse un aigu clair et d'une grande agilité.
Postion	Tokenization
1	La
2	cabalette
3	de
4	Zerline
5	,
6	rajoutée
7	en
8	1857
9	pour
10	la
11	version
12	italienne
13	et
14	empruntée
15	à
16	une
17	œuvre
18	de
19	jeunesse
20	,
21	demande
22	à
23	la
24	chanteuse
25	un
26	aigu
27	clair
28	et
29	d'
30	une
31	grande
32	agilité
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	cabalette	NOUN	21	nsubj
3	de	ADP	4	case
4	Zerline	PROPN	2	nmod
5	,	PUNCT	6	punct
6	rajoutée	VERB	2	acl
7	en	ADP	8	case
8	1857	NUM	6	obl:mod
9	pour	ADP	11	case
10	la	DET	11	det
11	version	NOUN	6	obl:mod
12	italienne	ADJ	11	amod
13	et	CCONJ	14	cc
14	empruntée	VERB	6	conj
15	à	ADP	17	case
16	une	DET	17	det
17	œuvre	NOUN	14	obl:arg
18	de	ADP	19	case
19	jeunesse	NOUN	17	nmod
20	,	PUNCT	6	punct
21	demande	VERB	0	root
22	à	ADP	24	case
23	la	DET	24	det
24	chanteuse	NOUN	21	obl:arg
25	un	DET	26	det
26	aigu	NOUN	21	obj
27	clair	ADJ	26	amod
28	et	CCONJ	32	cc
29	d'	ADP	32	case
30	une	DET	32	det
31	grande	ADJ	32	amod
32	agilité	NOUN	27	conj
33	.	PUNCT	21	punct