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:
Además de la distracción del conductor, el coche, en lugar de frenar, aceleró, se reventó una rueda del vehículo y la dirección de éste resultó afectada.
Postion	Tokenization
1	Además
2	de
3	la
4	distracción
5	del
6	conductor
7	,
8	el
9	coche
10	,
11	en
12	lugar
13	de
14	frenar
15	,
16	aceleró
17	,
18	se
19	reventó
20	una
21	rueda
22	del
23	vehículo
24	y
25	la
26	dirección
27	de
28	éste
29	resultó
30	afectada
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	4	case
2	de	ADP	1	fixed
3	la	DET	4	det
4	distracción	NOUN	16	obl
5	del	ADP	6	case
6	conductor	NOUN	4	nmod
7	,	PUNCT	4	punct
8	el	DET	9	det
9	coche	NOUN	16	nsubj
10	,	PUNCT	14	punct
11	en	ADP	14	mark
12	lugar	NOUN	11	fixed
13	de	ADP	11	fixed
14	frenar	VERB	16	advcl
15	,	PUNCT	14	punct
16	aceleró	VERB	0	root
17	,	PUNCT	19	punct
18	se	PRON	19	expl:pv
19	reventó	VERB	16	advcl
20	una	DET	21	det
21	rueda	NOUN	19	nsubj
22	del	ADP	23	case
23	vehículo	NOUN	21	nmod
24	y	CCONJ	29	cc
25	la	DET	26	det
26	dirección	NOUN	29	nsubj
27	de	ADP	28	case
28	éste	PRON	26	nmod
29	resultó	VERB	16	conj
30	afectada	ADJ	29	obj
31	.	PUNCT	16	punct