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 exjugador del Real Madrid y del Sevilla aseguró que el único conjunto que le interesa en España es su antiguo club andaluz.
Postion	Tokenization
1	El
2	exjugador
3	del
4	Real
5	Madrid
6	y
7	del
8	Sevilla
9	aseguró
10	que
11	el
12	único
13	conjunto
14	que
15	le
16	interesa
17	en
18	España
19	es
20	su
21	antiguo
22	club
23	andaluz
24	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	exjugador	NOUN	9	nsubj
3	del	ADP	4	case
4	Real	PROPN	2	nmod
5	Madrid	PROPN	4	flat
6	y	CCONJ	8	cc
7	del	ADP	8	case
8	Sevilla	PROPN	4	conj
9	aseguró	VERB	0	root
10	que	SCONJ	22	mark
11	el	DET	13	det
12	único	ADJ	13	amod
13	conjunto	NOUN	22	nsubj
14	que	PRON	16	nsubj
15	le	PRON	16	obj
16	interesa	VERB	13	acl
17	en	ADP	18	case
18	España	PROPN	16	obl
19	es	AUX	22	cop
20	su	DET	22	det
21	antiguo	ADJ	22	amod
22	club	NOUN	9	ccomp
23	andaluz	ADJ	22	amod
24	.	PUNCT	9	punct