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:
Nous voulons créer les conditions pour que les syndicats qui ont les mêmes orientations, les mêmes revendications se retrouvent pour que le mouvement syndical enseignant soit plus fort et plus efficace'.
Postion	Tokenization
1	Nous
2	voulons
3	créer
4	les
5	conditions
6	pour
7	que
8	les
9	syndicats
10	qui
11	ont
12	les
13	mêmes
14	orientations
15	,
16	les
17	mêmes
18	revendications
19	se
20	retrouvent
21	pour
22	que
23	le
24	mouvement
25	syndical
26	enseignant
27	soit
28	plus
29	fort
30	et
31	plus
32	efficace
33	'
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Nous	PRON	2	nsubj
2	voulons	VERB	0	root
3	créer	VERB	2	xcomp:obj
4	les	DET	5	det
5	conditions	NOUN	3	obj
6	pour	ADP	20	mark
7	que	SCONJ	20	mark
8	les	DET	9	det
9	syndicats	NOUN	20	nsubj:pass
10	qui	PRON	11	nsubj
11	ont	VERB	9	acl:relcl
12	les	DET	14	det
13	mêmes	ADJ	14	amod
14	orientations	NOUN	11	obj
15	,	PUNCT	18	punct
16	les	DET	18	det
17	mêmes	ADJ	18	amod
18	revendications	NOUN	14	conj
19	se	PRON	20	expl:pass
20	retrouvent	VERB	3	advcl
21	pour	ADP	29	mark
22	que	SCONJ	29	mark
23	le	DET	24	det
24	mouvement	NOUN	29	nsubj
25	syndical	ADJ	24	amod
26	enseignant	ADJ	24	amod
27	soit	AUX	29	cop
28	plus	ADV	29	advmod
29	fort	ADJ	20	advcl
30	et	CCONJ	32	cc
31	plus	ADV	32	advmod
32	efficace	ADJ	29	conj
33	'	PUNCT	29	punct
34	.	PUNCT	2	punct