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:
En la pelea también resultaron heridos otros seis aficionados, cinco ingleses y un turco, que fueron trasladados a un hospital y su estado no reviste gravedad, según informó la policía.
Postion	Tokenization
1	En
2	la
3	pelea
4	también
5	resultaron
6	heridos
7	otros
8	seis
9	aficionados
10	,
11	cinco
12	ingleses
13	y
14	un
15	turco
16	,
17	que
18	fueron
19	trasladados
20	a
21	un
22	hospital
23	y
24	su
25	estado
26	no
27	reviste
28	gravedad
29	,
30	según
31	informó
32	la
33	policía
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	pelea	NOUN	5	obl
4	también	ADV	5	advmod
5	resultaron	VERB	0	root
6	heridos	ADJ	5	obj
7	otros	DET	9	det
8	seis	NUM	7	nummod
9	aficionados	NOUN	5	nsubj
10	,	PUNCT	12	punct
11	cinco	NUM	12	nummod
12	ingleses	NOUN	9	appos
13	y	CCONJ	15	cc
14	un	DET	15	det
15	turco	NOUN	12	conj
16	,	PUNCT	12	punct
17	que	PRON	19	nsubj
18	fueron	AUX	19	aux
19	trasladados	VERB	9	acl
20	a	ADP	22	case
21	un	DET	22	det
22	hospital	NOUN	19	obl
23	y	CCONJ	27	cc
24	su	DET	25	det
25	estado	NOUN	27	nsubj
26	no	ADV	27	advmod
27	reviste	VERB	5	conj
28	gravedad	NOUN	27	obj
29	,	PUNCT	31	punct
30	según	SCONJ	31	mark
31	informó	VERB	27	advcl
32	la	DET	33	det
33	policía	NOUN	31	nsubj
34	.	PUNCT	5	punct