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:
Sobre la exhortación de Cardoso a la necesidad de afianzar el régimen democrático en Paraguay, González Macchi recalcó que Brasil "tiene la convicción de que nuestra democracia será fortalecida, lo que tornará más felices a los habitantes de nuestra tierra".
Postion	Tokenization
1	Sobre
2	la
3	exhortación
4	de
5	Cardoso
6	a
7	la
8	necesidad
9	de
10	afianzar
11	el
12	régimen
13	democrático
14	en
15	Paraguay
16	,
17	González
18	Macchi
19	recalcó
20	que
21	Brasil
22	"
23	tiene
24	la
25	convicción
26	de
27	que
28	nuestra
29	democracia
30	será
31	fortalecida
32	,
33	lo
34	que
35	tornará
36	más
37	felices
38	a
39	los
40	habitantes
41	de
42	nuestra
43	tierra
44	"
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Sobre	ADP	3	case
2	la	DET	3	det
3	exhortación	NOUN	19	obl
4	de	ADP	5	case
5	Cardoso	PROPN	3	nmod
6	a	ADP	8	case
7	la	DET	8	det
8	necesidad	NOUN	3	nmod
9	de	ADP	10	mark
10	afianzar	VERB	8	acl
11	el	DET	12	det
12	régimen	NOUN	10	obj
13	democrático	ADJ	12	amod
14	en	ADP	15	case
15	Paraguay	PROPN	10	obl
16	,	PUNCT	3	punct
17	González	PROPN	19	nsubj
18	Macchi	PROPN	17	flat
19	recalcó	VERB	0	root
20	que	SCONJ	23	mark
21	Brasil	PROPN	23	nsubj
22	"	PUNCT	23	punct
23	tiene	VERB	19	ccomp
24	la	DET	25	det
25	convicción	NOUN	23	obj
26	de	ADP	31	mark
27	que	SCONJ	31	mark
28	nuestra	DET	29	det
29	democracia	NOUN	31	nsubj
30	será	AUX	31	aux
31	fortalecida	VERB	25	acl
32	,	PUNCT	35	punct
33	lo	PRON	35	det
34	que	PRON	35	nsubj
35	tornará	VERB	31	advcl
36	más	ADV	37	advmod
37	felices	ADJ	35	obj
38	a	ADP	40	case
39	los	DET	40	det
40	habitantes	NOUN	35	obj
41	de	ADP	43	case
42	nuestra	DET	43	det
43	tierra	NOUN	40	nmod
44	"	PUNCT	23	punct
45	.	PUNCT	19	punct