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:
No obstante, aseguró que comparado con Rusia, donde la situación en su momento era de muy débil, Brasil presenta un riesgo más bajo.
Postion	Tokenization
1	No
2	obstante
3	,
4	aseguró
5	que
6	comparado
7	con
8	Rusia
9	,
10	donde
11	la
12	situación
13	en
14	su
15	momento
16	era
17	de
18	muy
19	débil
20	,
21	Brasil
22	presenta
23	un
24	riesgo
25	más
26	bajo
27	.
Position	Tokenization	UPOS	Head	Deprel
1	No	PART	4	advmod
2	obstante	NOUN	1	fixed
3	,	PUNCT	1	punct
4	aseguró	VERB	0	root
5	que	SCONJ	22	mark
6	comparado	ADJ	21	amod
7	con	ADP	8	case
8	Rusia	PROPN	6	obj
9	,	PUNCT	19	punct
10	donde	PRON	19	obl
11	la	DET	12	det
12	situación	NOUN	19	nsubj
13	en	ADP	15	case
14	su	DET	15	det
15	momento	NOUN	19	obl
16	era	AUX	19	cop
17	de	ADP	19	case
18	muy	ADV	19	advmod
19	débil	ADJ	8	acl
20	,	PUNCT	6	punct
21	Brasil	PROPN	22	nsubj
22	presenta	VERB	4	ccomp
23	un	DET	24	det
24	riesgo	NOUN	22	obj
25	más	ADV	26	advmod
26	bajo	ADJ	24	amod
27	.	PUNCT	4	punct