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:
Los cinco jóvenes de entre 18 y 20 años que viajaban en el primer vehículo murieron calcinados y una mujer que iba en la furgoneta implicada perdió, igualmente, la vida.
Postion	Tokenization
1	Los
2	cinco
3	jóvenes
4	de
5	entre
6	18
7	y
8	20
9	años
10	que
11	viajaban
12	en
13	el
14	primer
15	vehículo
16	murieron
17	calcinados
18	y
19	una
20	mujer
21	que
22	iba
23	en
24	la
25	furgoneta
26	implicada
27	perdió
28	,
29	igualmente
30	,
31	la
32	vida
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	cinco	NUM	1	nummod
3	jóvenes	NOUN	16	nsubj
4	de	ADP	9	case
5	entre	ADP	9	case
6	18	NUM	9	nummod
7	y	CCONJ	8	cc
8	20	NUM	6	conj
9	años	NOUN	3	nmod
10	que	PRON	11	nsubj
11	viajaban	VERB	3	acl
12	en	ADP	15	case
13	el	DET	15	det
14	primer	ADJ	15	amod
15	vehículo	NOUN	11	obl
16	murieron	VERB	0	root
17	calcinados	ADJ	16	obj
18	y	CCONJ	27	cc
19	una	DET	20	det
20	mujer	NOUN	27	nsubj
21	que	PRON	22	nsubj
22	iba	VERB	20	acl
23	en	ADP	25	case
24	la	DET	25	det
25	furgoneta	NOUN	22	obl
26	implicada	ADJ	25	amod
27	perdió	VERB	16	conj
28	,	PUNCT	29	punct
29	igualmente	ADV	27	advmod
30	,	PUNCT	29	punct
31	la	DET	32	det
32	vida	NOUN	27	obj
33	.	PUNCT	16	punct