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:
Unos días antes, el atleta nigeriano de 22 años Hyginus Anugo, que se encontraba en la ciudad austral a la espera de competir en los 400 metros, fue atropellado por un coche cerca del anillo olímpico, y murió a consecuencia de las heridas.
Postion	Tokenization
1	Unos
2	días
3	antes
4	,
5	el
6	atleta
7	nigeriano
8	de
9	22
10	años
11	Hyginus
12	Anugo
13	,
14	que
15	se
16	encontraba
17	en
18	la
19	ciudad
20	austral
21	a
22	la
23	espera
24	de
25	competir
26	en
27	los
28	400
29	metros
30	,
31	fue
32	atropellado
33	por
34	un
35	coche
36	cerca
37	del
38	anillo
39	olímpico
40	,
41	y
42	murió
43	a
44	consecuencia
45	de
46	las
47	heridas
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Unos	DET	2	det
2	días	NOUN	3	obl
3	antes	ADV	32	advmod
4	,	PUNCT	3	punct
5	el	DET	6	det
6	atleta	NOUN	32	nsubj
7	nigeriano	ADJ	6	amod
8	de	ADP	10	case
9	22	NUM	10	nummod
10	años	NOUN	6	nmod
11	Hyginus	PROPN	6	appos
12	Anugo	PROPN	11	flat
13	,	PUNCT	16	punct
14	que	PRON	16	nsubj
15	se	PRON	16	expl:pv
16	encontraba	VERB	6	acl
17	en	ADP	19	case
18	la	DET	19	det
19	ciudad	NOUN	16	obl
20	austral	ADJ	19	amod
21	a	ADP	25	mark
22	la	DET	21	fixed
23	espera	NOUN	21	fixed
24	de	ADP	21	fixed
25	competir	VERB	16	advcl
26	en	ADP	29	case
27	los	DET	28	det
28	400	NUM	29	nummod
29	metros	NOUN	25	obl
30	,	PUNCT	16	punct
31	fue	AUX	32	aux
32	atropellado	VERB	0	root
33	por	ADP	35	case
34	un	DET	35	det
35	coche	NOUN	32	obj
36	cerca	ADV	32	advmod
37	del	ADP	38	case
38	anillo	NOUN	36	obl
39	olímpico	ADJ	38	amod
40	,	PUNCT	42	punct
41	y	CCONJ	42	cc
42	murió	VERB	32	conj
43	a	ADP	47	case
44	consecuencia	NOUN	43	fixed
45	de	ADP	43	fixed
46	las	DET	47	det
47	heridas	NOUN	42	obl
48	.	PUNCT	32	punct