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:
Il le ramène en Transylvanie, l'occasion pour les Vampires, et en particulier le trio infernal, d'accueillir le nouveau venu comme il se doit.
Postion	Tokenization
1	Il
2	le
3	ramène
4	en
5	Transylvanie
6	,
7	l'
8	occasion
9	pour
10	les
11	Vampires
12	,
13	et
14	en
15	particulier
16	le
17	trio
18	infernal
19	,
20	d'
21	accueillir
22	le
23	nouveau
24	venu
25	comme
26	il
27	se
28	doit
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	le	PRON	3	obj
3	ramène	VERB	0	root
4	en	ADP	5	case
5	Transylvanie	PROPN	3	obl:mod
6	,	PUNCT	8	punct
7	l'	DET	8	det
8	occasion	NOUN	3	parataxis
9	pour	ADP	11	case
10	les	DET	11	det
11	Vampires	NOUN	8	nmod
12	,	PUNCT	17	punct
13	et	CCONJ	17	cc
14	en	ADP	17	advmod
15	particulier	NOUN	14	fixed
16	le	DET	17	det
17	trio	NOUN	11	conj
18	infernal	ADJ	17	amod
19	,	PUNCT	17	punct
20	d'	ADP	21	mark
21	accueillir	VERB	8	acl
22	le	DET	24	det
23	nouveau	ADJ	24	amod
24	venu	NOUN	21	obj
25	comme	SCONJ	28	mark
26	il	PRON	28	expl:subj
27	se	PRON	28	dep:comp
28	doit	VERB	21	advcl
29	.	PUNCT	3	punct