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:
Prédisant un duo avec le chanteur, le public s'attendait à un titre bouillonnant mais il s'agit finalement d'un morceau usuel parmi les chansons autobiographique que Madonna estime plus adultes.
Postion	Tokenization
1	Prédisant
2	un
3	duo
4	avec
5	le
6	chanteur
7	,
8	le
9	public
10	s'
11	attendait
12	à
13	un
14	titre
15	bouillonnant
16	mais
17	il
18	s'
19	agit
20	finalement
21	d'
22	un
23	morceau
24	usuel
25	parmi
26	les
27	chansons
28	autobiographique
29	que
30	Madonna
31	estime
32	plus
33	adultes
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Prédisant	VERB	11	advcl
2	un	DET	3	det
3	duo	NOUN	1	obj
4	avec	ADP	6	case
5	le	DET	6	det
6	chanteur	NOUN	1	obl:mod
7	,	PUNCT	1	punct
8	le	DET	9	det
9	public	NOUN	11	nsubj
10	s'	PRON	11	dep:comp
11	attendait	VERB	0	root
12	à	ADP	14	case
13	un	DET	14	det
14	titre	NOUN	11	obl:arg
15	bouillonnant	ADJ	14	amod
16	mais	CCONJ	19	cc
17	il	PRON	19	expl:subj
18	s'	PRON	19	dep:comp
19	agit	VERB	11	conj
20	finalement	ADV	19	advmod
21	d'	ADP	23	case
22	un	DET	23	det
23	morceau	NOUN	19	obl:arg
24	usuel	ADJ	23	amod
25	parmi	ADP	27	case
26	les	DET	27	det
27	chansons	NOUN	23	nmod
28	autobiographique	ADJ	27	amod
29	que	PRON	31	obj
30	Madonna	PROPN	31	nsubj
31	estime	VERB	23	acl:relcl
32	plus	ADV	33	advmod
33	adultes	NOUN	31	xcomp:pred
34	.	PUNCT	11	punct