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:
Pere Esteve ocupa la secretaria general de CDC desde el mes de noviembre de 1996, cuando sustituyó en el cargo a Miquel Roca que fue el número dos del partido durante muchos años
Postion	Tokenization
1	Pere
2	Esteve
3	ocupa
4	la
5	secretaria
6	general
7	de
8	CDC
9	desde
10	el
11	mes
12	de
13	noviembre
14	de
15	1996
16	,
17	cuando
18	sustituyó
19	en
20	el
21	cargo
22	a
23	Miquel
24	Roca
25	que
26	fue
27	el
28	número
29	dos
30	del
31	partido
32	durante
33	muchos
34	años
Position	Tokenization	UPOS	Head	Deprel
1	Pere	PROPN	3	nsubj
2	Esteve	PROPN	1	flat
3	ocupa	VERB	0	root
4	la	DET	5	det
5	secretaria	NOUN	3	obj
6	general	ADJ	5	amod
7	de	ADP	8	case
8	CDC	PROPN	5	nmod
9	desde	ADP	11	case
10	el	DET	11	det
11	mes	NOUN	3	obl
12	de	ADP	13	case
13	noviembre	NOUN	11	compound
14	de	ADP	15	case
15	1996	NUM	11	compound
16	,	PUNCT	18	punct
17	cuando	PRON	18	obl
18	sustituyó	VERB	11	acl
19	en	ADP	21	case
20	el	DET	21	det
21	cargo	NOUN	18	obl
22	a	ADP	23	case
23	Miquel	PROPN	18	obj
24	Roca	PROPN	23	flat
25	que	PRON	28	nsubj
26	fue	AUX	28	cop
27	el	DET	28	det
28	número	NOUN	23	acl
29	dos	NUM	28	appos
30	del	ADP	31	case
31	partido	NOUN	28	nmod
32	durante	ADP	34	case
33	muchos	DET	34	det
34	años	NOUN	28	obl