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:
Mucha gente se sorprende de que al ex bajista de los Stones le interese la arqueología, pero es así.
Postion	Tokenization
1	Mucha
2	gente
3	se
4	sorprende
5	de
6	que
7	al
8	ex
9	bajista
10	de
11	los
12	Stones
13	le
14	interese
15	la
16	arqueología
17	,
18	pero
19	es
20	así
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Mucha	DET	2	det
2	gente	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	sorprende	VERB	0	root
5	de	ADP	14	mark
6	que	SCONJ	14	mark
7	al	ADP	9	case
8	ex	ADJ	9	amod
9	bajista	NOUN	14	obj
10	de	ADP	12	case
11	los	DET	12	det
12	Stones	PROPN	9	nmod
13	le	PRON	14	obj
14	interese	VERB	4	advcl
15	la	DET	16	det
16	arqueología	NOUN	14	nsubj
17	,	PUNCT	20	punct
18	pero	CCONJ	20	cc
19	es	AUX	20	cop
20	así	ADV	4	conj
21	.	PUNCT	4	punct