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:
El presidente de la Generalitat, Jordi Pujol, reiteró que al gobierno catalán "no le gusta" el anuncio de un acuerdo de fusión entre las dos eléctricas al considerar que "reduce al mínimo la competencia".
Postion	Tokenization
1	El
2	presidente
3	de
4	la
5	Generalitat
6	,
7	Jordi
8	Pujol
9	,
10	reiteró
11	que
12	al
13	gobierno
14	catalán
15	"
16	no
17	le
18	gusta
19	"
20	el
21	anuncio
22	de
23	un
24	acuerdo
25	de
26	fusión
27	entre
28	las
29	dos
30	eléctricas
31	al
32	considerar
33	que
34	"
35	reduce
36	al
37	mínimo
38	la
39	competencia
40	"
41	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	10	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Generalitat	PROPN	2	nmod
6	,	PUNCT	7	punct
7	Jordi	PROPN	2	appos
8	Pujol	PROPN	7	flat
9	,	PUNCT	7	punct
10	reiteró	VERB	0	root
11	que	SCONJ	18	mark
12	al	ADP	13	case
13	gobierno	NOUN	18	obj
14	catalán	ADJ	13	amod
15	"	PUNCT	18	punct
16	no	ADV	18	advmod
17	le	PRON	18	obj
18	gusta	VERB	10	ccomp
19	"	PUNCT	18	punct
20	el	DET	21	det
21	anuncio	NOUN	18	nsubj
22	de	ADP	24	case
23	un	DET	24	det
24	acuerdo	NOUN	21	nmod
25	de	ADP	26	case
26	fusión	NOUN	24	nmod
27	entre	ADP	30	case
28	las	DET	30	det
29	dos	NUM	28	nummod
30	eléctricas	NOUN	24	nmod
31	al	ADP	32	mark
32	considerar	VERB	18	advcl
33	que	SCONJ	35	mark
34	"	PUNCT	35	punct
35	reduce	VERB	32	ccomp
36	al	ADP	37	case
37	mínimo	ADJ	35	advmod
38	la	DET	39	det
39	competencia	NOUN	35	obj
40	"	PUNCT	35	punct
41	.	PUNCT	10	punct