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:
En el ecuador del poder los señores primeros ministros sucumben aquí casi siempre a la tentación de "hacer el Kissinger", una figura taurina de reconocida eficacia y diversión.
Postion	Tokenization
1	En
2	el
3	ecuador
4	del
5	poder
6	los
7	señores
8	primeros
9	ministros
10	sucumben
11	aquí
12	casi
13	siempre
14	a
15	la
16	tentación
17	de
18	"
19	hacer
20	el
21	Kissinger
22	"
23	,
24	una
25	figura
26	taurina
27	de
28	reconocida
29	eficacia
30	y
31	diversión
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	ecuador	NOUN	10	obl
4	del	ADP	5	case
5	poder	NOUN	3	nmod
6	los	DET	7	det
7	señores	NOUN	10	nsubj
8	primeros	ADJ	9	amod
9	ministros	NOUN	7	appos
10	sucumben	VERB	0	root
11	aquí	ADV	10	advmod
12	casi	ADV	13	advmod
13	siempre	ADV	10	advmod
14	a	ADP	16	case
15	la	DET	16	det
16	tentación	NOUN	10	obl
17	de	ADP	19	mark
18	"	PUNCT	19	punct
19	hacer	VERB	16	acl
20	el	DET	21	det
21	Kissinger	PROPN	19	obj
22	"	PUNCT	21	punct
23	,	PUNCT	25	punct
24	una	DET	25	det
25	figura	NOUN	21	appos
26	taurina	ADJ	25	amod
27	de	ADP	29	case
28	reconocida	ADJ	29	amod
29	eficacia	NOUN	25	nmod
30	y	CCONJ	31	cc
31	diversión	NOUN	29	conj
32	.	PUNCT	10	punct