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:
Car si nous ne connaissons pas les dates du déclenchement d'une révolution d'un pays arabe précis, nous savons par contre que les germes de cette révolution sont là.
Postion	Tokenization
1	Car
2	si
3	nous
4	ne
5	connaissons
6	pas
7	les
8	dates
9	du
10	de
11	le
12	déclenchement
13	d'
14	une
15	révolution
16	d'
17	un
18	pays
19	arabe
20	précis
21	,
22	nous
23	savons
24	par
25	contre
26	que
27	les
28	germes
29	de
30	cette
31	révolution
32	sont
33	là
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Car	CCONJ	22	cc
2	si	SCONJ	5	mark
3	nous	PRON	5	nsubj
4	ne	ADV	5	advmod
5	connaissons	VERB	22	advcl
6	pas	ADV	5	advmod
7	les	DET	8	det
8	dates	NOUN	5	obj
9	du	_	None	_
10	de	ADP	11	case
11	le	DET	11	det
12	déclenchement	NOUN	8	nmod
13	d'	ADP	14	case
14	une	DET	14	det
15	révolution	NOUN	11	nmod
16	d'	ADP	17	case
17	un	DET	17	det
18	pays	NOUN	14	nmod
19	arabe	ADJ	17	amod
20	précis	ADJ	17	amod
21	,	PUNCT	5	punct
22	nous	PRON	22	nsubj
23	savons	VERB	0	root
24	par	ADP	22	advmod
25	contre	NOUN	23	fixed
26	que	SCONJ	31	mark
27	les	DET	27	det
28	germes	NOUN	31	nsubj
29	de	ADP	30	case
30	cette	DET	30	det
31	révolution	NOUN	27	nmod
32	sont	VERB	22	ccomp:obj
33	là	ADV	31	advmod
34	.	PUNCT	22	punct