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:
Arrasa ya en casi toda Europa, Latinoamérica y parte de Asia, y una versión spanglish amenaza con convertirla en Estados Unidos en la nueva Macarena.
Postion	Tokenization
1	Arrasa
2	ya
3	en
4	casi
5	toda
6	Europa
7	,
8	Latinoamérica
9	y
10	parte
11	de
12	Asia
13	,
14	y
15	una
16	versión
17	spanglish
18	amenaza
19	con
20	convertirla
21	convertir
22	la
23	en
24	Estados
25	Unidos
26	en
27	la
28	nueva
29	Macarena
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Arrasa	VERB	0	root
2	ya	ADV	1	advmod
3	en	ADP	6	case
4	casi	ADV	6	advmod
5	toda	DET	6	det
6	Europa	PROPN	1	obl
7	,	PUNCT	8	punct
8	Latinoamérica	PROPN	6	flat
9	y	CCONJ	10	cc
10	parte	NOUN	6	conj
11	de	ADP	12	case
12	Asia	PROPN	10	nmod
13	,	PUNCT	18	punct
14	y	CCONJ	18	cc
15	una	DET	16	det
16	versión	NOUN	18	nsubj
17	spanglish	NOUN	16	nmod
18	amenaza	VERB	1	conj
19	con	ADP	20	mark
20	convertirla	_	None	_
21	convertir	VERB	18	xcomp
22	la	PRON	20	obj
23	en	ADP	23	case
24	Estados	PROPN	20	obl
25	Unidos	PROPN	23	flat
26	en	ADP	28	case
27	la	DET	28	det
28	nueva	ADJ	28	amod
29	Macarena	PROPN	20	obj
30	.	PUNCT	1	punct