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 seguro tiene carácter causal y mutual: las primas son consecuencia de distribuir entre todos los conductores el importe de la siniestralidad que generan quienes tienen siniestros.
Postion	Tokenization
1	El
2	seguro
3	tiene
4	carácter
5	causal
6	y
7	mutual
8	:
9	las
10	primas
11	son
12	consecuencia
13	de
14	distribuir
15	entre
16	todos
17	los
18	conductores
19	el
20	importe
21	de
22	la
23	siniestralidad
24	que
25	generan
26	quienes
27	tienen
28	siniestros
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	seguro	NOUN	3	nsubj
3	tiene	VERB	0	root
4	carácter	NOUN	3	obj
5	causal	ADJ	4	amod
6	y	CCONJ	7	cc
7	mutual	ADJ	5	conj
8	:	PUNCT	12	punct
9	las	DET	10	det
10	primas	NOUN	12	nsubj
11	son	AUX	12	cop
12	consecuencia	NOUN	3	advcl
13	de	ADP	14	mark
14	distribuir	VERB	12	acl
15	entre	ADP	18	case
16	todos	DET	17	det
17	los	DET	18	det
18	conductores	NOUN	14	obl
19	el	DET	20	det
20	importe	NOUN	14	obj
21	de	ADP	23	case
22	la	DET	23	det
23	siniestralidad	NOUN	20	nmod
24	que	PRON	25	obj
25	generan	VERB	23	acl
26	quienes	PRON	27	nsubj
27	tienen	VERB	25	csubj
28	siniestros	NOUN	27	obj
29	.	PUNCT	3	punct