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:
Que estudió psicología y ha sido compositor, creativo de Internet, fotógrafo pornográfico, ilusionista y colaborador en radio y televisión, desmiente el tópico del inventor solitario y jubilado, y apuesta por crear en grupo.
Postion	Tokenization
1	Que
2	estudió
3	psicología
4	y
5	ha
6	sido
7	compositor
8	,
9	creativo
10	de
11	Internet
12	,
13	fotógrafo
14	pornográfico
15	,
16	ilusionista
17	y
18	colaborador
19	en
20	radio
21	y
22	televisión
23	,
24	desmiente
25	el
26	tópico
27	del
28	inventor
29	solitario
30	y
31	jubilado
32	,
33	y
34	apuesta
35	por
36	crear
37	en
38	grupo
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Que	SCONJ	2	mark
2	estudió	VERB	24	csubj
3	psicología	NOUN	2	obj
4	y	CCONJ	7	cc
5	ha	AUX	7	aux
6	sido	AUX	7	cop
7	compositor	NOUN	2	conj
8	,	PUNCT	9	punct
9	creativo	NOUN	7	conj
10	de	ADP	11	case
11	Internet	PROPN	9	nmod
12	,	PUNCT	13	punct
13	fotógrafo	NOUN	7	conj
14	pornográfico	ADJ	13	amod
15	,	PUNCT	16	punct
16	ilusionista	NOUN	7	conj
17	y	CCONJ	18	cc
18	colaborador	NOUN	7	conj
19	en	ADP	20	case
20	radio	NOUN	18	nmod
21	y	CCONJ	22	cc
22	televisión	NOUN	20	conj
23	,	PUNCT	2	punct
24	desmiente	VERB	0	root
25	el	DET	26	det
26	tópico	NOUN	24	obj
27	del	ADP	28	case
28	inventor	NOUN	26	nmod
29	solitario	ADJ	28	amod
30	y	CCONJ	31	cc
31	jubilado	ADJ	29	conj
32	,	PUNCT	34	punct
33	y	CCONJ	34	cc
34	apuesta	VERB	24	conj
35	por	ADP	36	mark
36	crear	VERB	34	xcomp
37	en	ADP	38	case
38	grupo	NOUN	36	obl
39	.	PUNCT	24	punct