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:
"Somos optimistas, pero no podemos dar la victoria por hecha", declaró a EFE Sonia Colin, una portavoz de la campaña republicana.
Postion	Tokenization
1	"
2	Somos
3	optimistas
4	,
5	pero
6	no
7	podemos
8	dar
9	la
10	victoria
11	por
12	hecha
13	"
14	,
15	declaró
16	a
17	EFE
18	Sonia
19	Colin
20	,
21	una
22	portavoz
23	de
24	la
25	campaña
26	republicana
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Somos	AUX	3	cop
3	optimistas	ADJ	15	ccomp
4	,	PUNCT	8	punct
5	pero	CCONJ	8	cc
6	no	ADV	8	advmod
7	podemos	AUX	8	aux
8	dar	VERB	3	conj
9	la	DET	10	det
10	victoria	NOUN	8	obj
11	por	ADP	8	obj
12	hecha	ADJ	11	advmod
13	"	PUNCT	3	punct
14	,	PUNCT	3	punct
15	declaró	VERB	0	root
16	a	ADP	17	case
17	EFE	PROPN	15	iobj
18	Sonia	PROPN	15	nsubj
19	Colin	PROPN	18	flat
20	,	PUNCT	22	punct
21	una	DET	22	det
22	portavoz	NOUN	18	appos
23	de	ADP	25	case
24	la	DET	25	det
25	campaña	NOUN	22	nmod
26	republicana	ADJ	25	amod
27	.	PUNCT	15	punct