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:
- - En el congreso nacional del PP se fichó a Piqué, ¿ahora sería un buen momento para incorporar a Anna Birulés? - -
Postion	Tokenization
1	-
2	-
3	En
4	el
5	congreso
6	nacional
7	del
8	PP
9	se
10	fichó
11	a
12	Piqué
13	,
14	¿
15	ahora
16	sería
17	un
18	buen
19	momento
20	para
21	incorporar
22	a
23	Anna
24	Birulés
25	?
26	-
27	-
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	10	punct
2	-	PUNCT	10	punct
3	En	ADP	5	case
4	el	DET	5	det
5	congreso	NOUN	10	obl
6	nacional	ADJ	5	amod
7	del	ADP	8	case
8	PP	PROPN	5	nmod
9	se	PRON	10	expl:impers
10	fichó	VERB	0	root
11	a	ADP	12	case
12	Piqué	PROPN	10	obj
13	,	PUNCT	10	punct
14	¿	PUNCT	19	punct
15	ahora	ADV	19	advmod
16	sería	AUX	19	cop
17	un	DET	19	det
18	buen	ADJ	19	amod
19	momento	NOUN	10	advcl
20	para	ADP	21	mark
21	incorporar	VERB	19	acl
22	a	ADP	23	case
23	Anna	PROPN	21	obj
24	Birulés	PROPN	23	flat
25	?	PUNCT	10	punct
26	-	PUNCT	10	punct
27	-	PUNCT	10	punct