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 secretario general de la Federación Socialista Madrileña, Jaime Lisavessky y su homólogo de IU, Angel Pérez, se citaron para firmar hoy el pacto a la Cámara Alta.
Postion	Tokenization
1	El
2	secretario
3	general
4	de
5	la
6	Federación
7	Socialista
8	Madrileña
9	,
10	Jaime
11	Lisavessky
12	y
13	su
14	homólogo
15	de
16	IU
17	,
18	Angel
19	Pérez
20	,
21	se
22	citaron
23	para
24	firmar
25	hoy
26	el
27	pacto
28	a
29	la
30	Cámara
31	Alta
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	secretario	NOUN	22	nsubj
3	general	ADJ	2	amod
4	de	ADP	6	case
5	la	DET	6	det
6	Federación	PROPN	2	nmod
7	Socialista	PROPN	6	flat
8	Madrileña	PROPN	6	flat
9	,	PUNCT	10	punct
10	Jaime	PROPN	2	appos
11	Lisavessky	PROPN	10	flat
12	y	CCONJ	14	cc
13	su	DET	14	det
14	homólogo	NOUN	2	conj
15	de	ADP	16	case
16	IU	PROPN	14	nmod
17	,	PUNCT	18	punct
18	Angel	PROPN	14	appos
19	Pérez	PROPN	18	flat
20	,	PUNCT	18	punct
21	se	PRON	22	obj
22	citaron	VERB	0	root
23	para	ADP	24	mark
24	firmar	VERB	22	advcl
25	hoy	ADV	24	advmod
26	el	DET	27	det
27	pacto	NOUN	24	obj
28	a	ADP	30	case
29	la	DET	30	det
30	Cámara	PROPN	27	nmod
31	Alta	PROPN	30	flat
32	.	PUNCT	22	punct