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 jugador del Valencia viajó el martes a Barcelona acompañado por el jefe de los servicios médicos del club, Jorge Candel para ser sometido a una TAC (Tomografía Axial Computerizada) que posteriormente analizó el doctor Villarrubia, quien determinó el proceso a seguir.
Postion	Tokenization
1	El
2	jugador
3	del
4	Valencia
5	viajó
6	el
7	martes
8	a
9	Barcelona
10	acompañado
11	por
12	el
13	jefe
14	de
15	los
16	servicios
17	médicos
18	del
19	club
20	,
21	Jorge
22	Candel
23	para
24	ser
25	sometido
26	a
27	una
28	TAC
29	(
30	Tomografía
31	Axial
32	Computerizada
33	)
34	que
35	posteriormente
36	analizó
37	el
38	doctor
39	Villarrubia
40	,
41	quien
42	determinó
43	el
44	proceso
45	a
46	seguir
47	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	jugador	NOUN	5	nsubj
3	del	ADP	4	case
4	Valencia	PROPN	2	nmod
5	viajó	VERB	0	root
6	el	DET	7	det
7	martes	NOUN	5	obl
8	a	ADP	9	case
9	Barcelona	PROPN	5	obl
10	acompañado	ADJ	5	obj
11	por	ADP	13	case
12	el	DET	13	det
13	jefe	NOUN	10	obj
14	de	ADP	16	case
15	los	DET	16	det
16	servicios	NOUN	13	nmod
17	médicos	ADJ	16	amod
18	del	ADP	19	case
19	club	NOUN	16	nmod
20	,	PUNCT	21	punct
21	Jorge	PROPN	13	appos
22	Candel	PROPN	21	flat
23	para	ADP	25	mark
24	ser	AUX	25	aux
25	sometido	VERB	5	advcl
26	a	ADP	28	case
27	una	DET	28	det
28	TAC	PROPN	25	obj
29	(	PUNCT	30	punct
30	Tomografía	PROPN	28	flat
31	Axial	PROPN	30	flat
32	Computerizada	PROPN	30	flat
33	)	PUNCT	30	punct
34	que	PRON	36	obj
35	posteriormente	ADV	36	advmod
36	analizó	VERB	28	acl
37	el	DET	38	det
38	doctor	NOUN	36	nsubj
39	Villarrubia	PROPN	38	appos
40	,	PUNCT	42	punct
41	quien	PRON	42	nsubj
42	determinó	VERB	38	acl
43	el	DET	44	det
44	proceso	NOUN	42	obj
45	a	ADP	46	mark
46	seguir	VERB	44	acl
47	.	PUNCT	5	punct