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:
Mientras que Duran habló de la existencia de un "virus", en alusión al sector crítico, Domènec Sesmilo se refirió a un "tumor maligno" que se debe extirpar.
Postion	Tokenization
1	Mientras
2	que
3	Duran
4	habló
5	de
6	la
7	existencia
8	de
9	un
10	"
11	virus
12	"
13	,
14	en
15	alusión
16	al
17	sector
18	crítico
19	,
20	Domènec
21	Sesmilo
22	se
23	refirió
24	a
25	un
26	"
27	tumor
28	maligno
29	"
30	que
31	se
32	debe
33	extirpar
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Mientras	CCONJ	4	mark
2	que	SCONJ	1	fixed
3	Duran	PROPN	4	nsubj
4	habló	VERB	23	advcl
5	de	ADP	7	case
6	la	DET	7	det
7	existencia	NOUN	4	obj
8	de	ADP	11	case
9	un	DET	11	det
10	"	PUNCT	11	punct
11	virus	NOUN	7	nmod
12	"	PUNCT	11	punct
13	,	PUNCT	17	punct
14	en	ADP	17	case
15	alusión	NOUN	14	fixed
16	al	ADP	14	fixed
17	sector	NOUN	4	obl
18	crítico	ADJ	17	amod
19	,	PUNCT	17	punct
20	Domènec	PROPN	23	nsubj
21	Sesmilo	PROPN	20	flat
22	se	PRON	23	expl:pv
23	refirió	VERB	0	root
24	a	ADP	27	case
25	un	DET	27	det
26	"	PUNCT	27	punct
27	tumor	NOUN	23	obj
28	maligno	ADJ	27	amod
29	"	PUNCT	27	punct
30	que	PRON	33	nsubj
31	se	PRON	33	expl:pass
32	debe	AUX	33	aux
33	extirpar	VERB	27	acl
34	.	PUNCT	23	punct