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:
El alza del protagonismo y la capacidad de influencia hará crecer nuestra capacidad para influir en sectores sociales y nuestra consolidación electoral.
Postion	Tokenization
1	El
2	alza
3	del
4	protagonismo
5	y
6	la
7	capacidad
8	de
9	influencia
10	hará
11	crecer
12	nuestra
13	capacidad
14	para
15	influir
16	en
17	sectores
18	sociales
19	y
20	nuestra
21	consolidación
22	electoral
23	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	alza	NOUN	10	nsubj
3	del	ADP	4	case
4	protagonismo	NOUN	2	nmod
5	y	CCONJ	7	cc
6	la	DET	7	det
7	capacidad	NOUN	4	conj
8	de	ADP	9	case
9	influencia	NOUN	7	nmod
10	hará	VERB	0	root
11	crecer	VERB	10	xcomp
12	nuestra	DET	13	det
13	capacidad	NOUN	10	obj
14	para	ADP	15	mark
15	influir	VERB	13	acl
16	en	ADP	17	case
17	sectores	NOUN	15	obj
18	sociales	ADJ	17	amod
19	y	CCONJ	21	cc
20	nuestra	DET	21	det
21	consolidación	NOUN	13	conj
22	electoral	ADJ	21	amod
23	.	PUNCT	10	punct