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:
Ha entrenado y jugado con molestias, pero ahora este problema se podía convertir en una patología muy grave, y por ello, y tras consultar con el doctor Villarrubia, vamos a tener que intervenir para intentar erradicar esta lesión ", explicó Candel.
Postion	Tokenization
1	Ha
2	entrenado
3	y
4	jugado
5	con
6	molestias
7	,
8	pero
9	ahora
10	este
11	problema
12	se
13	podía
14	convertir
15	en
16	una
17	patología
18	muy
19	grave
20	,
21	y
22	por
23	ello
24	,
25	y
26	tras
27	consultar
28	con
29	el
30	doctor
31	Villarrubia
32	,
33	vamos
34	a
35	tener
36	que
37	intervenir
38	para
39	intentar
40	erradicar
41	esta
42	lesión
43	"
44	,
45	explicó
46	Candel
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Ha	AUX	2	aux
2	entrenado	VERB	45	ccomp
3	y	CCONJ	4	cc
4	jugado	VERB	2	conj
5	con	ADP	6	case
6	molestias	NOUN	2	obl
7	,	PUNCT	14	punct
8	pero	CCONJ	14	cc
9	ahora	ADV	14	advmod
10	este	DET	11	det
11	problema	NOUN	14	nsubj
12	se	PRON	14	expl:pv
13	podía	AUX	14	aux
14	convertir	VERB	2	conj
15	en	ADP	17	case
16	una	DET	17	det
17	patología	NOUN	14	obj
18	muy	ADV	19	advmod
19	grave	ADJ	17	amod
20	,	PUNCT	35	punct
21	y	CCONJ	35	cc
22	por	ADP	23	case
23	ello	PRON	37	obl
24	,	PUNCT	27	punct
25	y	CCONJ	27	cc
26	tras	ADP	27	mark
27	consultar	VERB	23	conj
28	con	ADP	30	case
29	el	DET	30	det
30	doctor	NOUN	27	obj
31	Villarrubia	PROPN	30	appos
32	,	PUNCT	23	punct
33	vamos	AUX	37	aux
34	a	ADP	37	mark
35	tener	VERB	14	conj
36	que	SCONJ	37	cc
37	intervenir	VERB	35	conj
38	para	ADP	39	mark
39	intentar	VERB	37	advcl
40	erradicar	VERB	39	xcomp
41	esta	DET	42	det
42	lesión	NOUN	40	obj
43	"	PUNCT	2	punct
44	,	PUNCT	2	punct
45	explicó	VERB	0	root
46	Candel	PROPN	45	nsubj
47	.	PUNCT	45	punct