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:
- ¡Contra! Pues aquí se va a - montal - la de Tiananmen -, advierte Luis Ramos, el enérgico presidente del Rancho Criollo.
Postion	Tokenization
1	-
2	¡
3	Contra
4	!
5	Pues
6	aquí
7	se
8	va
9	a
10	-
11	montal
12	-
13	la
14	de
15	Tiananmen
16	-
17	,
18	advierte
19	Luis
20	Ramos
21	,
22	el
23	enérgico
24	presidente
25	del
26	Rancho
27	Criollo
28	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	11	punct
2	¡	PUNCT	3	punct
3	Contra	INTJ	11	dep
4	!	PUNCT	3	punct
5	Pues	SCONJ	11	mark
6	aquí	ADV	11	advmod
7	se	PRON	11	expl:pv
8	va	AUX	11	aux
9	a	ADP	11	mark
10	-	PUNCT	11	punct
11	montal	VERB	18	xcomp
12	-	PUNCT	11	punct
13	la	DET	11	det
14	de	ADP	13	case
15	Tiananmen	PROPN	13	nsubj
16	-	PUNCT	11	punct
17	,	PUNCT	11	punct
18	advierte	VERB	0	root
19	Luis	PROPN	18	nsubj
20	Ramos	PROPN	19	flat
21	,	PUNCT	24	punct
22	el	DET	24	det
23	enérgico	ADJ	24	amod
24	presidente	NOUN	19	appos
25	del	ADP	26	case
26	Rancho	PROPN	24	nmod
27	Criollo	PROPN	26	flat
28	.	PUNCT	18	punct