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:
Sus padres, un empresario y una profesora de música, la impulsaron a estudiar Bellas Artes, lo que hizo hasta que pudo con ella el mismo morbo del cine que enganchó a un tío suyo.
Postion	Tokenization
1	Sus
2	padres
3	,
4	un
5	empresario
6	y
7	una
8	profesora
9	de
10	música
11	,
12	la
13	impulsaron
14	a
15	estudiar
16	Bellas
17	Artes
18	,
19	lo
20	que
21	hizo
22	hasta
23	que
24	pudo
25	con
26	ella
27	el
28	mismo
29	morbo
30	del
31	cine
32	que
33	enganchó
34	a
35	un
36	tío
37	suyo
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Sus	DET	2	det
2	padres	NOUN	13	nsubj
3	,	PUNCT	5	punct
4	un	DET	5	det
5	empresario	NOUN	2	appos
6	y	CCONJ	8	cc
7	una	DET	8	det
8	profesora	NOUN	5	conj
9	de	ADP	10	case
10	música	NOUN	8	nmod
11	,	PUNCT	5	punct
12	la	PRON	13	iobj
13	impulsaron	VERB	0	root
14	a	ADP	15	mark
15	estudiar	VERB	13	xcomp
16	Bellas	PROPN	15	obj
17	Artes	PROPN	16	flat
18	,	PUNCT	21	punct
19	lo	PRON	21	det
20	que	PRON	21	obj
21	hizo	VERB	15	advcl
22	hasta	ADP	24	mark
23	que	SCONJ	24	mark
24	pudo	VERB	21	advcl
25	con	ADP	26	case
26	ella	PRON	24	obj
27	el	DET	29	det
28	mismo	DET	27	det
29	morbo	NOUN	24	nsubj
30	del	ADP	31	case
31	cine	NOUN	29	nmod
32	que	PRON	33	nsubj
33	enganchó	VERB	29	acl
34	a	ADP	36	case
35	un	DET	36	det
36	tío	NOUN	33	obj
37	suyo	DET	36	det
38	.	PUNCT	13	punct