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:
Ahora, 44 años después, presume de ser - bilingual - y mezcla con rara habilidad el inglés del Bronx y el español sin erres...
Postion	Tokenization
1	Ahora
2	,
3	44
4	años
5	después
6	,
7	presume
8	de
9	ser
10	-
11	bilingual
12	-
13	y
14	mezcla
15	con
16	rara
17	habilidad
18	el
19	inglés
20	del
21	Bronx
22	y
23	el
24	español
25	sin
26	erres
27	...
Position	Tokenization	UPOS	Head	Deprel
1	Ahora	ADV	7	advmod
2	,	PUNCT	4	punct
3	44	NUM	4	nummod
4	años	NOUN	7	obl
5	después	ADV	4	advmod
6	,	PUNCT	4	punct
7	presume	VERB	0	root
8	de	ADP	11	mark
9	ser	AUX	11	cop
10	-	PUNCT	11	punct
11	bilingual	NOUN	7	xcomp
12	-	PUNCT	11	punct
13	y	CCONJ	14	cc
14	mezcla	VERB	7	conj
15	con	ADP	17	case
16	rara	ADJ	17	amod
17	habilidad	NOUN	14	obl
18	el	DET	19	det
19	inglés	NOUN	14	obj
20	del	ADP	21	case
21	Bronx	PROPN	19	nmod
22	y	CCONJ	24	cc
23	el	DET	24	det
24	español	NOUN	19	conj
25	sin	ADP	26	case
26	erres	NOUN	24	nmod
27	...	PUNCT	7	punct