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, Antonio Muñoz Serrano, que ha sido condenado a una multa de 120.000 pesetas y prohibición de la licencia de circulación durante un año, sufrió el accidente la mañana del 5 de junio del pasado año cuando conducía su cuadriciclo - cuyo uso requiere solo de la licencia de circulación -, por una travesía de Sant Boi de Llobregat (Barcelona).
Postion	Tokenization
1	El
2	conductor
3	,
4	Antonio
5	Muñoz
6	Serrano
7	,
8	que
9	ha
10	sido
11	condenado
12	a
13	una
14	multa
15	de
16	120.000
17	pesetas
18	y
19	prohibición
20	de
21	la
22	licencia
23	de
24	circulación
25	durante
26	un
27	año
28	,
29	sufrió
30	el
31	accidente
32	la
33	mañana
34	del
35	5
36	de
37	junio
38	del
39	pasado
40	año
41	cuando
42	conducía
43	su
44	cuadriciclo
45	-
46	cuyo
47	uso
48	requiere
49	solo
50	de
51	la
52	licencia
53	de
54	circulación
55	-
56	,
57	por
58	una
59	travesía
60	de
61	Sant
62	Boi
63	de
64	Llobregat
65	(
66	Barcelona
67	)
68	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	conductor	NOUN	29	nsubj
3	,	PUNCT	4	punct
4	Antonio	PROPN	2	appos
5	Muñoz	PROPN	4	flat
6	Serrano	PROPN	4	flat
7	,	PUNCT	4	punct
8	que	PRON	11	nsubj
9	ha	AUX	11	aux
10	sido	AUX	11	aux
11	condenado	VERB	2	acl
12	a	ADP	14	case
13	una	DET	14	det
14	multa	NOUN	11	obj
15	de	ADP	17	case
16	120.000	NUM	17	nummod
17	pesetas	NOUN	14	nmod
18	y	CCONJ	19	cc
19	prohibición	NOUN	14	conj
20	de	ADP	22	case
21	la	DET	22	det
22	licencia	NOUN	19	nmod
23	de	ADP	24	case
24	circulación	NOUN	22	nmod
25	durante	ADP	27	case
26	un	DET	27	det
27	año	NOUN	19	nmod
28	,	PUNCT	2	punct
29	sufrió	VERB	0	root
30	el	DET	31	det
31	accidente	NOUN	29	obj
32	la	DET	33	det
33	mañana	NOUN	29	obl
34	del	ADP	35	case
35	5	NUM	33	nmod
36	de	ADP	37	case
37	junio	NOUN	35	compound
38	del	ADP	40	case
39	pasado	ADJ	40	amod
40	año	NOUN	35	nmod
41	cuando	SCONJ	42	mark
42	conducía	VERB	29	advcl
43	su	DET	44	det
44	cuadriciclo	NOUN	42	obj
45	-	PUNCT	48	punct
46	cuyo	PRON	47	nmod
47	uso	NOUN	48	nsubj
48	requiere	VERB	44	acl
49	solo	ADV	48	advmod
50	de	ADP	49	case
51	la	DET	52	det
52	licencia	NOUN	49	nmod
53	de	ADP	54	case
54	circulación	NOUN	52	nmod
55	-	PUNCT	48	punct
56	,	PUNCT	59	punct
57	por	ADP	59	case
58	una	DET	59	det
59	travesía	NOUN	42	obl
60	de	ADP	61	case
61	Sant	PROPN	59	nmod
62	Boi	PROPN	61	flat
63	de	ADP	64	case
64	Llobregat	PROPN	61	flat
65	(	PUNCT	66	punct
66	Barcelona	PROPN	61	flat
67	)	PUNCT	66	punct
68	.	PUNCT	29	punct