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:
Este año se los han encontrado de frente y ha llegado la desgracia ", explicó ayer con gran tristeza José María Pérez, director deportivo del Relax Fuenlabrada y descubridor de Morales.
Postion	Tokenization
1	Este
2	año
3	se
4	los
5	han
6	encontrado
7	de
8	frente
9	y
10	ha
11	llegado
12	la
13	desgracia
14	"
15	,
16	explicó
17	ayer
18	con
19	gran
20	tristeza
21	José
22	María
23	Pérez
24	,
25	director
26	deportivo
27	del
28	Relax
29	Fuenlabrada
30	y
31	descubridor
32	de
33	Morales
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	DET	2	det
2	año	NOUN	6	obl
3	se	PRON	6	expl:pv
4	los	PRON	6	obj
5	han	AUX	6	aux
6	encontrado	VERB	16	ccomp
7	de	ADP	6	iobj
8	frente	NOUN	7	fixed
9	y	CCONJ	11	cc
10	ha	AUX	11	aux
11	llegado	VERB	6	conj
12	la	DET	13	det
13	desgracia	NOUN	11	nsubj
14	"	PUNCT	6	punct
15	,	PUNCT	6	punct
16	explicó	VERB	0	root
17	ayer	ADV	16	advmod
18	con	ADP	20	case
19	gran	ADJ	20	amod
20	tristeza	NOUN	16	obl
21	José	PROPN	16	nsubj
22	María	PROPN	21	flat
23	Pérez	PROPN	21	flat
24	,	PUNCT	25	punct
25	director	NOUN	21	appos
26	deportivo	ADJ	25	amod
27	del	ADP	28	case
28	Relax	PROPN	25	nmod
29	Fuenlabrada	PROPN	28	flat
30	y	CCONJ	31	cc
31	descubridor	NOUN	25	conj
32	de	ADP	33	case
33	Morales	PROPN	31	nmod
34	.	PUNCT	16	punct