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 de los cánceres de piel, huesos o pulmón, cataratas, anemias aplásticas y leucemias, cuya probabilidad aumenta con la dosis absorbida por los tejidos.
Postion	Tokenization
1	Se
2	trata
3	de
4	los
5	cánceres
6	de
7	piel
8	,
9	huesos
10	o
11	pulmón
12	,
13	cataratas
14	,
15	anemias
16	aplásticas
17	y
18	leucemias
19	,
20	cuya
21	probabilidad
22	aumenta
23	con
24	la
25	dosis
26	absorbida
27	por
28	los
29	tejidos
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:impers
2	trata	VERB	0	root
3	de	ADP	5	case
4	los	DET	5	det
5	cánceres	NOUN	2	obj
6	de	ADP	7	case
7	piel	NOUN	5	nmod
8	,	PUNCT	9	punct
9	huesos	NOUN	7	conj
10	o	CCONJ	11	cc
11	pulmón	NOUN	7	conj
12	,	PUNCT	13	punct
13	cataratas	NOUN	5	appos
14	,	PUNCT	15	punct
15	anemias	NOUN	5	appos
16	aplásticas	ADJ	15	amod
17	y	CCONJ	18	cc
18	leucemias	NOUN	5	conj
19	,	PUNCT	22	punct
20	cuya	PRON	21	nmod
21	probabilidad	NOUN	22	nsubj
22	aumenta	VERB	5	acl
23	con	ADP	25	case
24	la	DET	25	det
25	dosis	NOUN	22	obl
26	absorbida	ADJ	25	amod
27	por	ADP	29	case
28	los	DET	29	det
29	tejidos	NOUN	26	obj
30	.	PUNCT	2	punct