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:
Además de la sabiduría y experiencia que se le presupone al técnico que más partidos ha dirigido en Primera División, se dice que Javier Irureta es un entrenador con suerte.
Postion	Tokenization
1	Además
2	de
3	la
4	sabiduría
5	y
6	experiencia
7	que
8	se
9	le
10	presupone
11	al
12	técnico
13	que
14	más
15	partidos
16	ha
17	dirigido
18	en
19	Primera
20	División
21	,
22	se
23	dice
24	que
25	Javier
26	Irureta
27	es
28	un
29	entrenador
30	con
31	suerte
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	4	case
2	de	ADP	1	fixed
3	la	DET	4	det
4	sabiduría	NOUN	23	obl
5	y	CCONJ	6	cc
6	experiencia	NOUN	4	conj
7	que	PRON	10	nsubj
8	se	PRON	10	expl:pass
9	le	PRON	10	obj
10	presupone	VERB	4	acl
11	al	ADP	12	case
12	técnico	NOUN	10	obj
13	que	PRON	17	nsubj
14	más	ADV	15	advmod
15	partidos	NOUN	17	obj
16	ha	AUX	17	aux
17	dirigido	VERB	12	acl
18	en	ADP	19	case
19	Primera	PROPN	17	obl
20	División	PROPN	19	flat
21	,	PUNCT	4	punct
22	se	PRON	23	expl:pass
23	dice	VERB	0	root
24	que	SCONJ	29	mark
25	Javier	PROPN	29	nsubj
26	Irureta	PROPN	25	flat
27	es	AUX	29	cop
28	un	DET	29	det
29	entrenador	NOUN	23	ccomp
30	con	ADP	31	case
31	suerte	NOUN	29	nmod
32	.	PUNCT	23	punct