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 conductor de un Fiat Uno Turbo que viajaba por la autopista A-16 perdió el control del vehículo a la altura de Viladecans (Baix Llobregat), atravesó la mediana de separación y colisionó con un Nissan Serena que circulaba en sentido contrario.
Postion	Tokenization
1	El
2	conductor
3	de
4	un
5	Fiat
6	Uno
7	Turbo
8	que
9	viajaba
10	por
11	la
12	autopista
13	A-16
14	perdió
15	el
16	control
17	del
18	vehículo
19	a
20	la
21	altura
22	de
23	Viladecans
24	(
25	Baix
26	Llobregat
27	)
28	,
29	atravesó
30	la
31	mediana
32	de
33	separación
34	y
35	colisionó
36	con
37	un
38	Nissan
39	Serena
40	que
41	circulaba
42	en
43	sentido
44	contrario
45	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	conductor	NOUN	14	nsubj
3	de	ADP	5	case
4	un	DET	5	det
5	Fiat	PROPN	2	nmod
6	Uno	PROPN	5	flat
7	Turbo	PROPN	5	flat
8	que	PRON	9	nsubj
9	viajaba	VERB	2	acl
10	por	ADP	12	case
11	la	DET	12	det
12	autopista	NOUN	9	obl
13	A-16	PROPN	12	appos
14	perdió	VERB	0	root
15	el	DET	16	det
16	control	NOUN	14	obj
17	del	ADP	18	case
18	vehículo	NOUN	16	nmod
19	a	ADP	21	case
20	la	DET	21	det
21	altura	NOUN	14	obl
22	de	ADP	23	case
23	Viladecans	PROPN	21	nmod
24	(	PUNCT	25	punct
25	Baix	ADJ	23	flat
26	Llobregat	PROPN	25	flat
27	)	PUNCT	25	punct
28	,	PUNCT	29	punct
29	atravesó	VERB	14	advcl
30	la	DET	31	det
31	mediana	NOUN	29	obj
32	de	ADP	33	case
33	separación	NOUN	31	nmod
34	y	CCONJ	35	cc
35	colisionó	VERB	14	conj
36	con	ADP	38	case
37	un	DET	38	det
38	Nissan	PROPN	35	obl
39	Serena	PROPN	38	flat
40	que	PRON	41	nsubj
41	circulaba	VERB	38	acl
42	en	ADP	43	case
43	sentido	NOUN	41	obl
44	contrario	ADJ	43	amod
45	.	PUNCT	14	punct