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:
L'héroïne, jeune fille naïve, tente de se suicider quand elle prend conscience qu'elle risque de devenir une demi-mondaine comme sa mère la pseudo-marquise Obardi.
Postion	Tokenization
1	L'
2	héroïne
3	,
4	jeune
5	fille
6	naïve
7	,
8	tente
9	de
10	se
11	suicider
12	quand
13	elle
14	prend
15	conscience
16	qu'
17	elle
18	risque
19	de
20	devenir
21	une
22	demi-mondaine
23	comme
24	sa
25	mère
26	la
27	pseudo-marquise
28	Obardi
29	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	héroïne	NOUN	8	nsubj
3	,	PUNCT	5	punct
4	jeune	ADJ	5	amod
5	fille	NOUN	2	appos
6	naïve	ADJ	5	amod
7	,	PUNCT	5	punct
8	tente	VERB	0	root
9	de	ADP	11	mark
10	se	PRON	11	dep:comp
11	suicider	VERB	8	xcomp:obj
12	quand	SCONJ	14	mark
13	elle	PRON	14	nsubj
14	prend	VERB	8	advcl
15	conscience	NOUN	14	obj:lvc
16	qu'	SCONJ	18	mark
17	elle	PRON	18	nsubj
18	risque	VERB	15	ccomp:obl
19	de	ADP	20	mark
20	devenir	VERB	18	xcomp:obj
21	une	DET	22	det
22	demi-mondaine	NOUN	20	xcomp:pred
23	comme	ADP	25	case
24	sa	DET	25	det
25	mère	NOUN	22	nmod
26	la	DET	27	det
27	pseudo-marquise	NOUN	25	appos
28	Obardi	PROPN	27	appos
29	.	PUNCT	8	punct