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:
Y como el epicentro de la mendicidad y el contraste urbano occidental tiene base en Nueva York, se aposentó en la gran metrópolis, donde se hizo con un máster en Administración Pública.
Postion	Tokenization
1	Y
2	como
3	el
4	epicentro
5	de
6	la
7	mendicidad
8	y
9	el
10	contraste
11	urbano
12	occidental
13	tiene
14	base
15	en
16	Nueva
17	York
18	,
19	se
20	aposentó
21	en
22	la
23	gran
24	metrópolis
25	,
26	donde
27	se
28	hizo
29	con
30	un
31	máster
32	en
33	Administración
34	Pública
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	20	advmod
2	como	SCONJ	13	mark
3	el	DET	4	det
4	epicentro	NOUN	13	nsubj
5	de	ADP	7	case
6	la	DET	7	det
7	mendicidad	NOUN	4	nmod
8	y	CCONJ	10	cc
9	el	DET	10	det
10	contraste	NOUN	4	conj
11	urbano	ADJ	10	amod
12	occidental	ADJ	10	amod
13	tiene	VERB	20	advcl
14	base	NOUN	13	obj
15	en	ADP	16	case
16	Nueva	PROPN	13	obl
17	York	PROPN	16	flat
18	,	PUNCT	13	punct
19	se	PRON	20	expl:pv
20	aposentó	VERB	0	root
21	en	ADP	24	case
22	la	DET	24	det
23	gran	ADJ	24	amod
24	metrópolis	NOUN	20	obl
25	,	PUNCT	28	punct
26	donde	PRON	28	obl
27	se	PRON	28	expl:pv
28	hizo	VERB	24	acl
29	con	ADP	31	case
30	un	DET	31	det
31	máster	NOUN	28	obj
32	en	ADP	33	case
33	Administración	PROPN	31	nmod
34	Pública	PROPN	33	flat
35	.	PUNCT	20	punct