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 pacto se firmó cuando Josep Piqué, ex presidente de Ercros, ya era ministro y ha sido calificado de trato de favor por la oposición parlamentaria.
Postion	Tokenization
1	El
2	pacto
3	se
4	firmó
5	cuando
6	Josep
7	Piqué
8	,
9	ex
10	presidente
11	de
12	Ercros
13	,
14	ya
15	era
16	ministro
17	y
18	ha
19	sido
20	calificado
21	de
22	trato
23	de
24	favor
25	por
26	la
27	oposición
28	parlamentaria
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	pacto	NOUN	4	nsubj
3	se	PRON	4	expl:pass
4	firmó	VERB	0	root
5	cuando	SCONJ	16	mark
6	Josep	PROPN	16	nsubj
7	Piqué	PROPN	6	flat
8	,	PUNCT	10	punct
9	ex	ADJ	10	amod
10	presidente	NOUN	6	appos
11	de	ADP	12	case
12	Ercros	PROPN	10	nmod
13	,	PUNCT	10	punct
14	ya	ADV	16	advmod
15	era	AUX	16	cop
16	ministro	NOUN	4	advcl
17	y	CCONJ	20	cc
18	ha	AUX	20	aux
19	sido	AUX	20	aux
20	calificado	VERB	4	conj
21	de	ADP	22	case
22	trato	NOUN	20	obj
23	de	ADP	24	case
24	favor	NOUN	22	nmod
25	por	ADP	27	case
26	la	DET	27	det
27	oposición	NOUN	20	obj
28	parlamentaria	ADJ	27	amod
29	.	PUNCT	4	punct