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:
Un aficionado inglés falleció hoy como consecuencia de las graves lesiones que sufrió en los violentos enfrentamientos entre las aficiones del Galatasaray y el Leeds, informó el canal de televisión NTV.
Postion	Tokenization
1	Un
2	aficionado
3	inglés
4	falleció
5	hoy
6	como
7	consecuencia
8	de
9	las
10	graves
11	lesiones
12	que
13	sufrió
14	en
15	los
16	violentos
17	enfrentamientos
18	entre
19	las
20	aficiones
21	del
22	Galatasaray
23	y
24	el
25	Leeds
26	,
27	informó
28	el
29	canal
30	de
31	televisión
32	NTV
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	aficionado	NOUN	4	nsubj
3	inglés	ADJ	2	amod
4	falleció	VERB	27	ccomp
5	hoy	ADV	4	advmod
6	como	SCONJ	11	case
7	consecuencia	NOUN	6	fixed
8	de	ADP	6	fixed
9	las	DET	11	det
10	graves	ADJ	11	amod
11	lesiones	NOUN	4	obl
12	que	PRON	13	obj
13	sufrió	VERB	11	acl
14	en	ADP	17	case
15	los	DET	17	det
16	violentos	ADJ	17	amod
17	enfrentamientos	NOUN	13	obl
18	entre	ADP	20	case
19	las	DET	20	det
20	aficiones	NOUN	17	nmod
21	del	ADP	22	case
22	Galatasaray	PROPN	20	nmod
23	y	CCONJ	25	cc
24	el	DET	25	det
25	Leeds	PROPN	22	conj
26	,	PUNCT	4	punct
27	informó	VERB	0	root
28	el	DET	29	det
29	canal	NOUN	27	nsubj
30	de	ADP	31	case
31	televisión	NOUN	29	nmod
32	NTV	PROPN	29	appos
33	.	PUNCT	27	punct