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:
Candel explicó hoy que el jugador sufre una rotura del ligamento escafolunar y que "sólo tiene una solución: que sea intervenido quirúrgicamente el próximo miércoles en Barcelona".
Postion	Tokenization
1	Candel
2	explicó
3	hoy
4	que
5	el
6	jugador
7	sufre
8	una
9	rotura
10	del
11	ligamento
12	escafolunar
13	y
14	que
15	"
16	sólo
17	tiene
18	una
19	solución
20	:
21	que
22	sea
23	intervenido
24	quirúrgicamente
25	el
26	próximo
27	miércoles
28	en
29	Barcelona
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Candel	PROPN	2	nsubj
2	explicó	VERB	0	root
3	hoy	ADV	2	advmod
4	que	SCONJ	7	mark
5	el	DET	6	det
6	jugador	NOUN	7	nsubj
7	sufre	VERB	2	ccomp
8	una	DET	9	det
9	rotura	NOUN	7	obj
10	del	ADP	11	case
11	ligamento	NOUN	9	nmod
12	escafolunar	ADJ	11	amod
13	y	CCONJ	17	cc
14	que	SCONJ	17	mark
15	"	PUNCT	17	punct
16	sólo	ADV	17	advmod
17	tiene	VERB	7	conj
18	una	DET	19	det
19	solución	NOUN	17	obj
20	:	PUNCT	23	punct
21	que	SCONJ	23	mark
22	sea	AUX	23	aux
23	intervenido	VERB	19	acl
24	quirúrgicamente	ADV	23	advmod
25	el	DET	27	det
26	próximo	ADJ	27	amod
27	miércoles	NOUN	23	obl
28	en	ADP	29	case
29	Barcelona	PROPN	23	obl
30	"	PUNCT	17	punct
31	.	PUNCT	2	punct