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:
Nuestra alternativa es y será contundente, pero basada en la responsabilidad, en la propuesta constructiva y en el convencimiento de la necesidad de un cambio de estilo que beneficiará a todos.
Postion	Tokenization
1	Nuestra
2	alternativa
3	es
4	y
5	será
6	contundente
7	,
8	pero
9	basada
10	en
11	la
12	responsabilidad
13	,
14	en
15	la
16	propuesta
17	constructiva
18	y
19	en
20	el
21	convencimiento
22	de
23	la
24	necesidad
25	de
26	un
27	cambio
28	de
29	estilo
30	que
31	beneficiará
32	a
33	todos
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Nuestra	DET	2	det
2	alternativa	NOUN	6	nsubj
3	es	AUX	6	cop
4	y	CCONJ	5	cc
5	será	AUX	3	conj
6	contundente	ADJ	0	root
7	,	PUNCT	9	punct
8	pero	CCONJ	9	cc
9	basada	ADJ	6	conj
10	en	ADP	12	case
11	la	DET	12	det
12	responsabilidad	NOUN	9	obj
13	,	PUNCT	16	punct
14	en	ADP	16	case
15	la	DET	16	det
16	propuesta	NOUN	12	conj
17	constructiva	ADJ	16	amod
18	y	CCONJ	21	cc
19	en	ADP	21	case
20	el	DET	21	det
21	convencimiento	NOUN	12	conj
22	de	ADP	24	case
23	la	DET	24	det
24	necesidad	NOUN	21	nmod
25	de	ADP	27	case
26	un	DET	27	det
27	cambio	NOUN	24	nmod
28	de	ADP	29	case
29	estilo	NOUN	27	nmod
30	que	PRON	31	nsubj
31	beneficiará	VERB	27	acl
32	a	ADP	33	case
33	todos	PRON	31	obj
34	.	PUNCT	6	punct