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:
Dans ce rapport de force, remarquait Hegel, l'esclave est toujours sûr de gagner pour la bonne raison qu'en tant qu'esclave il n'a rien à perdre.
Postion	Tokenization
1	Dans
2	ce
3	rapport
4	de
5	force
6	,
7	remarquait
8	Hegel
9	,
10	l'
11	esclave
12	est
13	toujours
14	sûr
15	de
16	gagner
17	pour
18	la
19	bonne
20	raison
21	qu'
22	en
23	tant
24	qu'
25	esclave
26	il
27	n'
28	a
29	rien
30	à
31	perdre
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Dans	ADP	3	case
2	ce	DET	3	det
3	rapport	NOUN	14	obl:mod
4	de	ADP	5	case
5	force	NOUN	3	nmod
6	,	PUNCT	3	punct
7	remarquait	VERB	14	parataxis
8	Hegel	PROPN	7	nsubj
9	,	PUNCT	7	punct
10	l'	DET	11	det
11	esclave	NOUN	14	nsubj
12	est	AUX	14	cop
13	toujours	ADV	14	advmod
14	sûr	ADJ	0	root
15	de	ADP	16	mark
16	gagner	VERB	14	ccomp:obl
17	pour	ADP	20	case
18	la	DET	20	det
19	bonne	ADJ	20	amod
20	raison	NOUN	14	obl:mod
21	qu'	SCONJ	28	mark
22	en	ADP	25	case
23	tant	ADV	22	fixed
24	qu'	SCONJ	22	fixed
25	esclave	NOUN	28	obl:mod
26	il	PRON	28	nsubj
27	n'	ADV	28	advmod
28	a	VERB	20	acl
29	rien	PRON	28	obj
30	à	ADP	31	mark
31	perdre	VERB	29	acl
32	.	PUNCT	14	punct