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:
Así por ejemplo, rara vez los embargos internacionales acaban con los regímenes autoritarios y la clase dirigente en esos regímenes no suele sufrir las consecuencias de los embargos.
Postion	Tokenization
1	Así
2	por
3	ejemplo
4	,
5	rara
6	vez
7	los
8	embargos
9	internacionales
10	acaban
11	con
12	los
13	regímenes
14	autoritarios
15	y
16	la
17	clase
18	dirigente
19	en
20	esos
21	regímenes
22	no
23	suele
24	sufrir
25	las
26	consecuencias
27	de
28	los
29	embargos
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Así	ADV	10	advmod
2	por	ADP	10	advmod
3	ejemplo	NOUN	2	fixed
4	,	PUNCT	2	punct
5	rara	ADJ	10	advmod
6	vez	NOUN	5	fixed
7	los	DET	8	det
8	embargos	NOUN	10	nsubj
9	internacionales	ADJ	8	amod
10	acaban	VERB	0	root
11	con	ADP	13	case
12	los	DET	13	det
13	regímenes	NOUN	10	obj
14	autoritarios	ADJ	13	amod
15	y	CCONJ	23	cc
16	la	DET	17	det
17	clase	NOUN	23	nsubj
18	dirigente	ADJ	17	amod
19	en	ADP	21	case
20	esos	DET	21	det
21	regímenes	NOUN	23	obl
22	no	ADV	23	advmod
23	suele	VERB	10	conj
24	sufrir	VERB	23	xcomp
25	las	DET	26	det
26	consecuencias	NOUN	24	obj
27	de	ADP	29	case
28	los	DET	29	det
29	embargos	NOUN	26	nmod
30	.	PUNCT	10	punct