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:
No obstante, las condiciones ganadoras que había estipulado para su celebración el primer ministro separatista, Lucien Bouchard, han comenzado ya a materializarse, pues la primera de ellas era la victoria electoral.
Postion	Tokenization
1	No
2	obstante
3	,
4	las
5	condiciones
6	ganadoras
7	que
8	había
9	estipulado
10	para
11	su
12	celebración
13	el
14	primer
15	ministro
16	separatista
17	,
18	Lucien
19	Bouchard
20	,
21	han
22	comenzado
23	ya
24	a
25	materializarse
26	materializar
27	se
28	,
29	pues
30	la
31	primera
32	de
33	ellas
34	era
35	la
36	victoria
37	electoral
38	.
Position	Tokenization	UPOS	Head	Deprel
1	No	PART	22	advmod
2	obstante	NOUN	1	fixed
3	,	PUNCT	1	punct
4	las	DET	5	det
5	condiciones	NOUN	22	nsubj
6	ganadoras	ADJ	5	amod
7	que	PRON	9	obj
8	había	AUX	9	aux
9	estipulado	VERB	5	acl
10	para	ADP	12	case
11	su	DET	12	det
12	celebración	NOUN	9	obl
13	el	DET	15	det
14	primer	ADJ	15	amod
15	ministro	NOUN	9	nsubj
16	separatista	ADJ	15	amod
17	,	PUNCT	18	punct
18	Lucien	PROPN	15	appos
19	Bouchard	PROPN	18	flat
20	,	PUNCT	18	punct
21	han	AUX	22	aux
22	comenzado	VERB	0	root
23	ya	ADV	22	advmod
24	a	ADP	25	mark
25	materializarse	_	None	_
26	materializar	VERB	22	xcomp
27	se	PRON	25	expl:pass
28	,	PUNCT	35	punct
29	pues	SCONJ	35	mark
30	la	DET	30	det
31	primera	ADJ	35	nsubj
32	de	ADP	32	case
33	ellas	PRON	30	nmod
34	era	AUX	35	cop
35	la	DET	35	det
36	victoria	NOUN	25	advcl
37	electoral	ADJ	35	amod
38	.	PUNCT	22	punct