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:
A l'inverse du roman, c'est elle qui se sacrifie au comte Orlok (Dracula) afin qu'il soit détruit par le soleil levant.
Postion	Tokenization
1	A
2	l'
3	inverse
4	du
5	de
6	le
7	roman
8	,
9	c'
10	est
11	elle
12	qui
13	se
14	sacrifie
15	au
16	à
17	le
18	comte
19	Orlok
20	(
21	Dracula
22	)
23	afin
24	qu'
25	il
26	soit
27	détruit
28	par
29	le
30	soleil
31	levant
32	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	l'	DET	3	det
3	inverse	NOUN	10	obl:mod
4	du	_	None	_
5	de	ADP	6	case
6	le	DET	6	det
7	roman	NOUN	3	nmod
8	,	PUNCT	3	punct
9	c'	PRON	10	expl:subj
10	est	AUX	10	cop
11	elle	PRON	0	root
12	qui	PRON	13	nsubj
13	se	PRON	13	obj
14	sacrifie	VERB	10	advcl:cleft
15	au	_	None	_
16	à	ADP	16	case
17	le	DET	16	det
18	comte	NOUN	13	obl:arg
19	Orlok	PROPN	16	appos
20	(	PUNCT	19	punct
21	Dracula	PROPN	16	appos
22	)	PUNCT	19	punct
23	afin	ADV	10	advmod
24	qu'	SCONJ	25	mark
25	il	PRON	25	nsubj:pass
26	soit	AUX	25	aux:pass
27	détruit	VERB	21	ccomp:obj
28	par	ADP	28	case
29	le	DET	28	det
30	soleil	NOUN	25	obl:agent
31	levant	VERB	28	acl
32	.	PUNCT	10	punct