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:
A los 50 años, y con una sólida carrera profesional relacionada con las ventas a sus espaldas, vio la oportunidad de convertirse en empresario.
Postion	Tokenization
1	A
2	los
3	50
4	años
5	,
6	y
7	con
8	una
9	sólida
10	carrera
11	profesional
12	relacionada
13	con
14	las
15	ventas
16	a
17	sus
18	espaldas
19	,
20	vio
21	la
22	oportunidad
23	de
24	convertirse
25	convertir
26	se
27	en
28	empresario
29	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	4	case
2	los	DET	3	det
3	50	NUM	4	nummod
4	años	NOUN	20	obl
5	,	PUNCT	10	punct
6	y	CCONJ	10	cc
7	con	ADP	10	case
8	una	DET	10	det
9	sólida	ADJ	10	amod
10	carrera	NOUN	4	conj
11	profesional	ADJ	10	amod
12	relacionada	ADJ	10	amod
13	con	ADP	15	case
14	las	DET	15	det
15	ventas	NOUN	12	obj
16	a	ADP	18	case
17	sus	DET	18	det
18	espaldas	NOUN	10	nmod
19	,	PUNCT	4	punct
20	vio	VERB	0	root
21	la	DET	22	det
22	oportunidad	NOUN	20	obj
23	de	ADP	24	mark
24	convertirse	_	None	_
25	convertir	VERB	22	acl
26	se	PRON	24	expl:pv
27	en	ADP	27	case
28	empresario	NOUN	24	obj
29	.	PUNCT	20	punct