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 problema de los vehículos que circulan sin el seguro de responsabilidad civil obligatorio hay que enmarcarlo en todos aquellos colectivos con elevada siniestralidad.
Postion	Tokenization
1	El
2	problema
3	de
4	los
5	vehículos
6	que
7	circulan
8	sin
9	el
10	seguro
11	de
12	responsabilidad
13	civil
14	obligatorio
15	hay
16	que
17	enmarcarlo
18	enmarcar
19	lo
20	en
21	todos
22	aquellos
23	colectivos
24	con
25	elevada
26	siniestralidad
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	problema	NOUN	17	obj
3	de	ADP	5	case
4	los	DET	5	det
5	vehículos	NOUN	2	nmod
6	que	PRON	7	nsubj
7	circulan	VERB	5	acl
8	sin	ADP	10	case
9	el	DET	10	det
10	seguro	NOUN	7	obl
11	de	ADP	12	case
12	responsabilidad	NOUN	10	nmod
13	civil	ADJ	12	amod
14	obligatorio	ADJ	10	amod
15	hay	AUX	0	root
16	que	SCONJ	17	cc
17	enmarcarlo	_	None	_
18	enmarcar	VERB	15	conj
19	lo	PRON	17	obj
20	en	ADP	22	case
21	todos	DET	21	det
22	aquellos	DET	22	det
23	colectivos	NOUN	17	obl
24	con	ADP	25	case
25	elevada	ADJ	25	amod
26	siniestralidad	NOUN	22	nmod
27	.	PUNCT	15	punct