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:
Considérée, avec sa sœur Marina, comme l'« une des plus belles jeunes femmes de son époque », la princesse Olga est une personnalité discrète, romantique et fragile.
Postion	Tokenization
1	Considérée
2	,
3	avec
4	sa
5	sœur
6	Marina
7	,
8	comme
9	l'
10	«
11	une
12	des
13	de
14	les
15	plus
16	belles
17	jeunes
18	femmes
19	de
20	son
21	époque
22	»
23	,
24	la
25	princesse
26	Olga
27	est
28	une
29	personnalité
30	discrète
31	,
32	romantique
33	et
34	fragile
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Considérée	VERB	28	advcl
2	,	PUNCT	5	punct
3	avec	ADP	5	case
4	sa	DET	5	det
5	sœur	NOUN	1	obl:mod
6	Marina	PROPN	5	appos
7	,	PUNCT	5	punct
8	comme	ADP	11	case
9	l'	DET	11	det
10	«	PUNCT	11	punct
11	une	PRON	1	xcomp:pred
12	des	_	None	_
13	de	ADP	17	case
14	les	DET	17	det
15	plus	ADV	15	advmod
16	belles	ADJ	17	amod
17	jeunes	ADJ	17	amod
18	femmes	NOUN	11	nmod
19	de	ADP	20	case
20	son	DET	20	det
21	époque	NOUN	17	nmod
22	»	PUNCT	11	punct
23	,	PUNCT	1	punct
24	la	DET	24	det
25	princesse	NOUN	28	nsubj
26	Olga	PROPN	24	appos
27	est	AUX	28	cop
28	une	DET	28	det
29	personnalité	NOUN	0	root
30	discrète	ADJ	28	amod
31	,	PUNCT	31	punct
32	romantique	ADJ	29	conj
33	et	CCONJ	33	cc
34	fragile	ADJ	29	conj
35	.	PUNCT	28	punct