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:
Se trata del modelo de coche elegido por el candidato de IU para viajar por toda España y que en la caravana electoral ha servido para hacer juegos de palabras nunca malintencionadas.
Postion	Tokenization
1	Se
2	trata
3	del
4	modelo
5	de
6	coche
7	elegido
8	por
9	el
10	candidato
11	de
12	IU
13	para
14	viajar
15	por
16	toda
17	España
18	y
19	que
20	en
21	la
22	caravana
23	electoral
24	ha
25	servido
26	para
27	hacer
28	juegos
29	de
30	palabras
31	nunca
32	malintencionadas
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:impers
2	trata	VERB	0	root
3	del	ADP	4	case
4	modelo	NOUN	2	obj
5	de	ADP	6	case
6	coche	NOUN	4	nmod
7	elegido	ADJ	4	amod
8	por	ADP	10	case
9	el	DET	10	det
10	candidato	NOUN	7	obj
11	de	ADP	12	case
12	IU	PROPN	10	nmod
13	para	ADP	14	mark
14	viajar	VERB	7	advcl
15	por	ADP	17	case
16	toda	DET	17	det
17	España	PROPN	14	obl
18	y	CCONJ	25	cc
19	que	PRON	25	nsubj
20	en	ADP	22	case
21	la	DET	22	det
22	caravana	NOUN	25	obl
23	electoral	ADJ	22	amod
24	ha	AUX	25	aux
25	servido	VERB	7	conj
26	para	ADP	27	mark
27	hacer	VERB	25	xcomp
28	juegos	NOUN	27	obj
29	de	ADP	30	case
30	palabras	NOUN	28	nmod
31	nunca	ADV	32	advmod
32	malintencionadas	ADJ	30	amod
33	.	PUNCT	2	punct