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:
Joseph Blatter se define como apasionado del fútbol y recurre constantemente a una frase: "Presidir la FIFA sólo es una buena manera de servir a mi país".
Postion	Tokenization
1	Joseph
2	Blatter
3	se
4	define
5	como
6	apasionado
7	del
8	fútbol
9	y
10	recurre
11	constantemente
12	a
13	una
14	frase
15	:
16	"
17	Presidir
18	la
19	FIFA
20	sólo
21	es
22	una
23	buena
24	manera
25	de
26	servir
27	a
28	mi
29	país
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Joseph	PROPN	4	nsubj
2	Blatter	PROPN	1	flat
3	se	PRON	4	obj
4	define	VERB	0	root
5	como	SCONJ	6	mark
6	apasionado	ADJ	4	advmod
7	del	ADP	8	case
8	fútbol	NOUN	6	nmod
9	y	CCONJ	10	cc
10	recurre	VERB	4	conj
11	constantemente	ADV	10	advmod
12	a	ADP	14	case
13	una	DET	14	det
14	frase	NOUN	10	obj
15	:	PUNCT	24	punct
16	"	PUNCT	24	punct
17	Presidir	VERB	24	csubj
18	la	DET	19	det
19	FIFA	PROPN	17	obj
20	sólo	ADV	24	advmod
21	es	AUX	24	cop
22	una	DET	24	det
23	buena	ADJ	24	amod
24	manera	NOUN	14	acl
25	de	ADP	26	mark
26	servir	VERB	24	acl
27	a	ADP	29	case
28	mi	DET	29	det
29	país	NOUN	26	obj
30	"	PUNCT	24	punct
31	.	PUNCT	4	punct