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:
Par ailleurs, il choisit de se surnommer Alucard, en opposition à Dracula (le mot Alucard étant l'opposé exact, l'anacyclique du mot Dracula).
Postion	Tokenization
1	Par
2	ailleurs
3	,
4	il
5	choisit
6	de
7	se
8	surnommer
9	Alucard
10	,
11	en
12	opposition
13	à
14	Dracula
15	(
16	le
17	mot
18	Alucard
19	étant
20	l'
21	opposé
22	exact
23	,
24	l'
25	anacyclique
26	du
27	de
28	le
29	mot
30	Dracula
31	)
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Par	ADP	5	advmod
2	ailleurs	ADV	1	fixed
3	,	PUNCT	1	punct
4	il	PRON	5	nsubj
5	choisit	VERB	0	root
6	de	ADP	8	mark
7	se	PRON	8	obj
8	surnommer	VERB	5	xcomp:obj
9	Alucard	PROPN	8	xcomp:pred
10	,	PUNCT	12	punct
11	en	ADP	12	case
12	opposition	NOUN	8	obl:mod
13	à	ADP	14	case
14	Dracula	PROPN	12	nmod
15	(	PUNCT	21	punct
16	le	DET	17	det
17	mot	NOUN	21	nsubj
18	Alucard	PROPN	17	appos
19	étant	AUX	21	cop
20	l'	DET	21	det
21	opposé	NOUN	5	advcl
22	exact	ADJ	21	amod
23	,	PUNCT	25	punct
24	l'	DET	25	det
25	anacyclique	NOUN	21	appos
26	du	_	None	_
27	de	ADP	28	case
28	le	DET	28	det
29	mot	NOUN	25	nmod
30	Dracula	PROPN	28	appos
31	)	PUNCT	21	punct
32	.	PUNCT	5	punct