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:
Por esa razón, aseguró, los otros países insisten en que Brasil debe adherir al plan de retención a partir del 1 de julio, "ya que ellos no son los principales afectados".
Postion	Tokenization
1	Por
2	esa
3	razón
4	,
5	aseguró
6	,
7	los
8	otros
9	países
10	insisten
11	en
12	que
13	Brasil
14	debe
15	adherir
16	al
17	plan
18	de
19	retención
20	a
21	partir
22	del
23	1
24	de
25	julio
26	,
27	"
28	ya
29	que
30	ellos
31	no
32	son
33	los
34	principales
35	afectados
36	"
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	esa	DET	3	det
3	razón	NOUN	10	obl
4	,	PUNCT	5	punct
5	aseguró	VERB	10	parataxis
6	,	PUNCT	5	punct
7	los	DET	9	det
8	otros	DET	7	det
9	países	NOUN	10	nsubj
10	insisten	VERB	0	root
11	en	ADP	15	mark
12	que	SCONJ	15	mark
13	Brasil	PROPN	15	nsubj
14	debe	AUX	15	aux
15	adherir	VERB	10	xcomp
16	al	ADP	17	case
17	plan	NOUN	15	obj
18	de	ADP	19	case
19	retención	NOUN	17	nmod
20	a	ADP	23	case
21	partir	NOUN	20	fixed
22	del	ADP	20	fixed
23	1	NUM	15	obl
24	de	ADP	25	case
25	julio	NOUN	23	compound
26	,	PUNCT	35	punct
27	"	PUNCT	35	punct
28	ya	ADV	35	mark
29	que	SCONJ	28	fixed
30	ellos	PRON	35	nsubj
31	no	ADV	35	advmod
32	son	AUX	35	cop
33	los	DET	35	det
34	principales	ADJ	35	amod
35	afectados	NOUN	10	advcl
36	"	PUNCT	35	punct
37	.	PUNCT	10	punct