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:
El año pasado, en las rondas de Barcelona se registraron 610 accidentes de tráfico y siete personas perdieron la vida.
Postion	Tokenization
1	El
2	año
3	pasado
4	,
5	en
6	las
7	rondas
8	de
9	Barcelona
10	se
11	registraron
12	610
13	accidentes
14	de
15	tráfico
16	y
17	siete
18	personas
19	perdieron
20	la
21	vida
22	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	año	NOUN	11	obl
3	pasado	ADJ	2	amod
4	,	PUNCT	2	punct
5	en	ADP	7	case
6	las	DET	7	det
7	rondas	NOUN	11	obl
8	de	ADP	9	case
9	Barcelona	PROPN	7	nmod
10	se	PRON	11	expl:pass
11	registraron	VERB	0	root
12	610	NUM	13	nummod
13	accidentes	NOUN	11	nsubj
14	de	ADP	15	case
15	tráfico	NOUN	13	nmod
16	y	CCONJ	19	cc
17	siete	NUM	18	nummod
18	personas	NOUN	19	nsubj
19	perdieron	VERB	11	conj
20	la	DET	21	det
21	vida	NOUN	19	obj
22	.	PUNCT	11	punct