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:
"Y creemos que nuestro resultado, nuestra paz, será más justa y democrática que la que se alcance mediante la destrucción y la muerte.
Postion	Tokenization
1	"
2	Y
3	creemos
4	que
5	nuestro
6	resultado
7	,
8	nuestra
9	paz
10	,
11	será
12	más
13	justa
14	y
15	democrática
16	que
17	la
18	que
19	se
20	alcance
21	mediante
22	la
23	destrucción
24	y
25	la
26	muerte
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Y	CCONJ	3	advmod
3	creemos	VERB	0	root
4	que	SCONJ	13	mark
5	nuestro	DET	6	det
6	resultado	NOUN	13	nsubj
7	,	PUNCT	9	punct
8	nuestra	DET	9	det
9	paz	NOUN	6	appos
10	,	PUNCT	9	punct
11	será	AUX	13	cop
12	más	ADV	13	advmod
13	justa	ADJ	3	ccomp
14	y	CCONJ	15	cc
15	democrática	ADJ	13	conj
16	que	SCONJ	20	mark
17	la	DET	20	det
18	que	PRON	20	nsubj
19	se	PRON	20	expl:pass
20	alcance	VERB	13	advcl
21	mediante	ADP	23	case
22	la	DET	23	det
23	destrucción	NOUN	20	obl
24	y	CCONJ	26	cc
25	la	DET	26	det
26	muerte	NOUN	23	conj
27	.	PUNCT	3	punct