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:
Junto a estas líneas, un joven "autónomo" se pasea desnudo frente a la policía suiza de Zúrich, donde también se produjeron enfrentamientos.
Postion	Tokenization
1	Junto
2	a
3	estas
4	líneas
5	,
6	un
7	joven
8	"
9	autónomo
10	"
11	se
12	pasea
13	desnudo
14	frente
15	a
16	la
17	policía
18	suiza
19	de
20	Zúrich
21	,
22	donde
23	también
24	se
25	produjeron
26	enfrentamientos
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Junto	ADJ	4	case
2	a	ADP	1	fixed
3	estas	DET	4	det
4	líneas	NOUN	12	obl
5	,	PUNCT	4	punct
6	un	DET	7	det
7	joven	NOUN	12	nsubj
8	"	PUNCT	9	punct
9	autónomo	ADJ	7	amod
10	"	PUNCT	9	punct
11	se	PRON	12	expl:pv
12	pasea	VERB	0	root
13	desnudo	ADJ	12	obj
14	frente	ADV	12	advmod
15	a	ADP	17	case
16	la	DET	17	det
17	policía	NOUN	14	obl
18	suiza	ADJ	17	amod
19	de	ADP	20	case
20	Zúrich	PROPN	17	nmod
21	,	PUNCT	25	punct
22	donde	PRON	25	obl
23	también	ADV	25	advmod
24	se	PRON	25	expl:pv
25	produjeron	VERB	17	acl
26	enfrentamientos	NOUN	25	nsubj
27	.	PUNCT	12	punct