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:
Angel Fernández dispone a su favor de la experiencia que tuvo en las elecciones de 1997 y de la red de oficinas de Don Piso.
Postion	Tokenization
1	Angel
2	Fernández
3	dispone
4	a
5	su
6	favor
7	de
8	la
9	experiencia
10	que
11	tuvo
12	en
13	las
14	elecciones
15	de
16	1997
17	y
18	de
19	la
20	red
21	de
22	oficinas
23	de
24	Don
25	Piso
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Angel	PROPN	3	nsubj
2	Fernández	PROPN	1	flat
3	dispone	VERB	0	root
4	a	ADP	6	case
5	su	DET	6	det
6	favor	NOUN	3	obl
7	de	ADP	9	case
8	la	DET	9	det
9	experiencia	NOUN	3	obj
10	que	PRON	11	obj
11	tuvo	VERB	9	acl
12	en	ADP	14	case
13	las	DET	14	det
14	elecciones	NOUN	11	obl
15	de	ADP	16	case
16	1997	NOUN	14	nmod
17	y	CCONJ	20	cc
18	de	ADP	20	case
19	la	DET	20	det
20	red	NOUN	9	conj
21	de	ADP	22	case
22	oficinas	NOUN	20	nmod
23	de	ADP	24	case
24	Don	PROPN	20	nmod
25	Piso	PROPN	24	flat
26	.	PUNCT	3	punct