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:
Para trasladarse de un municipio a otro se tardan en la actualidad unos 45 minutos con vehículos adaptados a las duras condiciones del firme y del trazado.
Postion	Tokenization
1	Para
2	trasladarse
3	trasladar
4	se
5	de
6	un
7	municipio
8	a
9	otro
10	se
11	tardan
12	en
13	la
14	actualidad
15	unos
16	45
17	minutos
18	con
19	vehículos
20	adaptados
21	a
22	las
23	duras
24	condiciones
25	del
26	firme
27	y
28	del
29	trazado
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	mark
2	trasladarse	_	None	_
3	trasladar	VERB	10	advcl
4	se	PRON	2	expl:impers
5	de	ADP	6	case
6	un	DET	6	det
7	municipio	NOUN	2	obl
8	a	ADP	8	case
9	otro	PRON	2	obl
10	se	PRON	10	expl:pass
11	tardan	VERB	0	root
12	en	ADP	13	case
13	la	DET	13	det
14	actualidad	NOUN	10	obj
15	unos	PRON	15	nmod
16	45	NUM	16	nummod
17	minutos	NOUN	10	obj
18	con	ADP	18	case
19	vehículos	NOUN	10	obl
20	adaptados	ADJ	18	amod
21	a	ADP	23	case
22	las	DET	23	det
23	duras	ADJ	23	amod
24	condiciones	NOUN	19	obj
25	del	ADP	25	case
26	firme	NOUN	23	nmod
27	y	CCONJ	28	cc
28	del	ADP	28	case
29	trazado	NOUN	25	conj
30	.	PUNCT	10	punct