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 caso es que una persona introvertida pescará un resfriado o un catarro mucho antes que otra extrovertida, como pudieron demostrar los británicos por la cantidad de virus encontrados en la mucosa.
Postion	Tokenization
1	El
2	caso
3	es
4	que
5	una
6	persona
7	introvertida
8	pescará
9	un
10	resfriado
11	o
12	un
13	catarro
14	mucho
15	antes
16	que
17	otra
18	extrovertida
19	,
20	como
21	pudieron
22	demostrar
23	los
24	británicos
25	por
26	la
27	cantidad
28	de
29	virus
30	encontrados
31	en
32	la
33	mucosa
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	caso	NOUN	3	nsubj
3	es	AUX	0	root
4	que	SCONJ	8	mark
5	una	DET	6	det
6	persona	NOUN	8	nsubj
7	introvertida	ADJ	6	amod
8	pescará	VERB	3	ccomp
9	un	DET	10	det
10	resfriado	NOUN	8	obj
11	o	CCONJ	13	cc
12	un	DET	13	det
13	catarro	NOUN	10	conj
14	mucho	ADV	17	mark
15	antes	ADV	14	fixed
16	que	SCONJ	14	fixed
17	otra	PRON	8	obl
18	extrovertida	ADJ	17	amod
19	,	PUNCT	22	punct
20	como	SCONJ	22	mark
21	pudieron	AUX	22	aux
22	demostrar	VERB	8	advcl
23	los	DET	24	det
24	británicos	NOUN	22	nsubj
25	por	ADP	27	case
26	la	DET	27	det
27	cantidad	NOUN	22	obl
28	de	ADP	29	case
29	virus	NOUN	27	nmod
30	encontrados	ADJ	29	amod
31	en	ADP	33	case
32	la	DET	33	det
33	mucosa	NOUN	30	obl
34	.	PUNCT	3	punct