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:
Como consecuencia de esa acción, catorce futbolistas del Vélez tuvieron que ser asistidos en un centro médico y en el Hospital Comarcal de la Axarquía, ya que presentaban diversos traumatismos.
Postion	Tokenization
1	Como
2	consecuencia
3	de
4	esa
5	acción
6	,
7	catorce
8	futbolistas
9	del
10	Vélez
11	tuvieron
12	que
13	ser
14	asistidos
15	en
16	un
17	centro
18	médico
19	y
20	en
21	el
22	Hospital
23	Comarcal
24	de
25	la
26	Axarquía
27	,
28	ya
29	que
30	presentaban
31	diversos
32	traumatismos
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	2	mark
2	consecuencia	NOUN	14	obl
3	de	ADP	5	case
4	esa	DET	5	det
5	acción	NOUN	2	nmod
6	,	PUNCT	2	punct
7	catorce	NUM	8	nummod
8	futbolistas	NOUN	14	nsubj
9	del	ADP	10	case
10	Vélez	PROPN	8	nmod
11	tuvieron	VERB	0	root
12	que	SCONJ	14	cc
13	ser	AUX	14	aux
14	asistidos	VERB	11	conj
15	en	ADP	17	case
16	un	DET	17	det
17	centro	NOUN	14	obl
18	médico	ADJ	17	amod
19	y	CCONJ	22	cc
20	en	ADP	22	case
21	el	DET	22	det
22	Hospital	PROPN	17	conj
23	Comarcal	PROPN	22	flat
24	de	ADP	26	case
25	la	DET	26	det
26	Axarquía	PROPN	22	flat
27	,	PUNCT	30	punct
28	ya	ADV	30	mark
29	que	SCONJ	28	fixed
30	presentaban	VERB	14	advcl
31	diversos	DET	32	det
32	traumatismos	NOUN	30	obj
33	.	PUNCT	11	punct