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 incremento alarmante en el número de siniestros en algunos colectivos ha provocado el aumento de primas de todos los asegurados.
Postion	Tokenization
1	El
2	incremento
3	alarmante
4	en
5	el
6	número
7	de
8	siniestros
9	en
10	algunos
11	colectivos
12	ha
13	provocado
14	el
15	aumento
16	de
17	primas
18	de
19	todos
20	los
21	asegurados
22	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	incremento	NOUN	13	nsubj
3	alarmante	ADJ	2	amod
4	en	ADP	6	case
5	el	DET	6	det
6	número	NOUN	2	nmod
7	de	ADP	8	case
8	siniestros	NOUN	6	nmod
9	en	ADP	11	case
10	algunos	DET	11	det
11	colectivos	NOUN	6	nmod
12	ha	AUX	13	aux
13	provocado	VERB	0	root
14	el	DET	15	det
15	aumento	NOUN	13	obj
16	de	ADP	17	case
17	primas	NOUN	15	nmod
18	de	ADP	21	case
19	todos	DET	20	det
20	los	DET	21	det
21	asegurados	ADJ	17	amod
22	.	PUNCT	13	punct