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:
Romero lo explica así: - Nos presentamos como una fuerza política de gobierno y siempre nos hemos presentado como una fuerza política de oposición -.
Postion	Tokenization
1	Romero
2	lo
3	explica
4	así
5	:
6	-
7	Nos
8	presentamos
9	como
10	una
11	fuerza
12	política
13	de
14	gobierno
15	y
16	siempre
17	nos
18	hemos
19	presentado
20	como
21	una
22	fuerza
23	política
24	de
25	oposición
26	-
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Romero	PROPN	3	nsubj
2	lo	PRON	3	obj
3	explica	VERB	0	root
4	así	ADV	3	advmod
5	:	PUNCT	8	punct
6	-	PUNCT	8	punct
7	Nos	PRON	8	obj
8	presentamos	VERB	3	advcl
9	como	SCONJ	11	mark
10	una	DET	11	det
11	fuerza	NOUN	8	obj
12	política	ADJ	11	amod
13	de	ADP	14	case
14	gobierno	NOUN	11	nmod
15	y	CCONJ	19	cc
16	siempre	ADV	19	advmod
17	nos	PRON	19	obj
18	hemos	AUX	19	aux
19	presentado	VERB	8	conj
20	como	SCONJ	22	mark
21	una	DET	22	det
22	fuerza	NOUN	19	obj
23	política	ADJ	22	amod
24	de	ADP	25	case
25	oposición	NOUN	22	nmod
26	-	PUNCT	3	punct
27	.	PUNCT	3	punct