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:
El presidente de Paraguay, Luis González Macchi, dijo hoy en Brasil que la globalización se ha convertido en un fenómeno que perjudica a la mayoría de países, incluso ahondando sus realidades de pobreza.
Postion	Tokenization
1	El
2	presidente
3	de
4	Paraguay
5	,
6	Luis
7	González
8	Macchi
9	,
10	dijo
11	hoy
12	en
13	Brasil
14	que
15	la
16	globalización
17	se
18	ha
19	convertido
20	en
21	un
22	fenómeno
23	que
24	perjudica
25	a
26	la
27	mayoría
28	de
29	países
30	,
31	incluso
32	ahondando
33	sus
34	realidades
35	de
36	pobreza
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	10	nsubj
3	de	ADP	4	case
4	Paraguay	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Luis	PROPN	2	appos
7	González	PROPN	6	flat
8	Macchi	PROPN	6	flat
9	,	PUNCT	6	punct
10	dijo	VERB	0	root
11	hoy	ADV	10	advmod
12	en	ADP	13	case
13	Brasil	PROPN	10	obl
14	que	SCONJ	19	mark
15	la	DET	16	det
16	globalización	NOUN	19	nsubj
17	se	PRON	19	expl:pv
18	ha	AUX	19	aux
19	convertido	VERB	10	ccomp
20	en	ADP	22	case
21	un	DET	22	det
22	fenómeno	NOUN	19	obj
23	que	PRON	24	nsubj
24	perjudica	VERB	22	acl
25	a	ADP	27	case
26	la	DET	27	det
27	mayoría	NOUN	24	obj
28	de	ADP	29	case
29	países	NOUN	27	nmod
30	,	PUNCT	32	punct
31	incluso	ADV	32	advmod
32	ahondando	VERB	24	advcl
33	sus	DET	34	det
34	realidades	NOUN	32	obj
35	de	ADP	36	case
36	pobreza	NOUN	34	nmod
37	.	PUNCT	10	punct