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:
Fernando Martín Vicente presentó ayer su dimisión como presidente de la Federación Española de Discapacitados Intelectuales (FEDDI) y vicepresidente del Comité Paralímpico Español (CPE).
Postion	Tokenization
1	Fernando
2	Martín
3	Vicente
4	presentó
5	ayer
6	su
7	dimisión
8	como
9	presidente
10	de
11	la
12	Federación
13	Española
14	de
15	Discapacitados
16	Intelectuales
17	(
18	FEDDI
19	)
20	y
21	vicepresidente
22	del
23	Comité
24	Paralímpico
25	Español
26	(
27	CPE
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Fernando	PROPN	4	nsubj
2	Martín	PROPN	1	flat
3	Vicente	PROPN	1	flat
4	presentó	VERB	0	root
5	ayer	ADV	4	advmod
6	su	DET	7	det
7	dimisión	NOUN	4	obj
8	como	SCONJ	9	mark
9	presidente	NOUN	4	obj
10	de	ADP	12	case
11	la	DET	12	det
12	Federación	PROPN	9	nmod
13	Española	PROPN	12	flat
14	de	ADP	15	case
15	Discapacitados	PROPN	12	flat
16	Intelectuales	PROPN	12	flat
17	(	PUNCT	18	punct
18	FEDDI	PROPN	12	flat
19	)	PUNCT	18	punct
20	y	CCONJ	21	cc
21	vicepresidente	NOUN	9	conj
22	del	ADP	23	case
23	Comité	PROPN	21	nmod
24	Paralímpico	PROPN	23	flat
25	Español	PROPN	23	flat
26	(	PUNCT	27	punct
27	CPE	PROPN	23	flat
28	)	PUNCT	27	punct
29	.	PUNCT	4	punct