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 hechos ocurrieron el 28 de noviembre de 1997, cuando el conductor Eloy V. M., de 22 años, que circulaba por la calle de Aragó, se distrajo al llegar al paseo de Gràcia.
Postion	Tokenization
1	Los
2	hechos
3	ocurrieron
4	el
5	28
6	de
7	noviembre
8	de
9	1997
10	,
11	cuando
12	el
13	conductor
14	Eloy
15	V.
16	M.
17	,
18	de
19	22
20	años
21	,
22	que
23	circulaba
24	por
25	la
26	calle
27	de
28	Aragó
29	,
30	se
31	distrajo
32	al
33	llegar
34	al
35	paseo
36	de
37	Gràcia
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	hechos	NOUN	3	nsubj
3	ocurrieron	VERB	0	root
4	el	DET	5	det
5	28	NUM	3	obl
6	de	ADP	7	case
7	noviembre	NOUN	5	compound
8	de	ADP	9	case
9	1997	NUM	5	compound
10	,	PUNCT	31	punct
11	cuando	PRON	31	obl
12	el	DET	13	det
13	conductor	NOUN	31	nsubj
14	Eloy	PROPN	13	appos
15	V.	PROPN	14	flat
16	M.	PROPN	14	flat
17	,	PUNCT	20	punct
18	de	ADP	20	case
19	22	NUM	20	nummod
20	años	NOUN	13	nmod
21	,	PUNCT	20	punct
22	que	PRON	23	nsubj
23	circulaba	VERB	13	acl
24	por	ADP	26	case
25	la	DET	26	det
26	calle	NOUN	23	obl
27	de	ADP	28	case
28	Aragó	PROPN	26	nmod
29	,	PUNCT	23	punct
30	se	PRON	31	expl:pv
31	distrajo	VERB	5	acl
32	al	ADP	33	mark
33	llegar	VERB	31	advcl
34	al	ADP	35	case
35	paseo	NOUN	33	obl
36	de	ADP	37	case
37	Gràcia	PROPN	35	nmod
38	.	PUNCT	3	punct