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:
Volvió a Barcelona en 1992 para incorporarse como jefe de espectáculos de EL PERIÓDICO y siguió con ese mismo cargo en El Dominical.
Postion	Tokenization
1	Volvió
2	a
3	Barcelona
4	en
5	1992
6	para
7	incorporarse
8	incorporar
9	se
10	como
11	jefe
12	de
13	espectáculos
14	de
15	EL
16	PERIÓDICO
17	y
18	siguió
19	con
20	ese
21	mismo
22	cargo
23	en
24	El
25	Dominical
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Volvió	VERB	0	root
2	a	ADP	3	case
3	Barcelona	PROPN	1	obl
4	en	ADP	5	case
5	1992	NOUN	1	obl
6	para	ADP	7	mark
7	incorporarse	_	None	_
8	incorporar	VERB	1	advcl
9	se	PRON	7	expl:pv
10	como	SCONJ	10	mark
11	jefe	NOUN	7	obj
12	de	ADP	12	case
13	espectáculos	NOUN	10	nmod
14	de	ADP	15	case
15	EL	DET	15	det
16	PERIÓDICO	PROPN	10	nmod
17	y	CCONJ	17	cc
18	siguió	VERB	1	conj
19	con	ADP	21	case
20	ese	DET	21	det
21	mismo	DET	19	det
22	cargo	NOUN	17	obl
23	en	ADP	24	case
24	El	DET	24	det
25	Dominical	PROPN	21	nmod
26	.	PUNCT	1	punct