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:
Para consolidar una organización con vocación de gobierno, Arenas se dirigió a sectores concretos de la sociedad como las mujeres y los pensionistas, esenciales para lograr mayorías parlamentarias.
Postion	Tokenization
1	Para
2	consolidar
3	una
4	organización
5	con
6	vocación
7	de
8	gobierno
9	,
10	Arenas
11	se
12	dirigió
13	a
14	sectores
15	concretos
16	de
17	la
18	sociedad
19	como
20	las
21	mujeres
22	y
23	los
24	pensionistas
25	,
26	esenciales
27	para
28	lograr
29	mayorías
30	parlamentarias
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	mark
2	consolidar	VERB	12	advcl
3	una	DET	4	det
4	organización	NOUN	2	obj
5	con	ADP	6	case
6	vocación	NOUN	4	nmod
7	de	ADP	8	case
8	gobierno	NOUN	6	nmod
9	,	PUNCT	2	punct
10	Arenas	PROPN	12	nsubj
11	se	PRON	12	expl:pv
12	dirigió	VERB	0	root
13	a	ADP	14	case
14	sectores	NOUN	12	obj
15	concretos	ADJ	14	amod
16	de	ADP	18	case
17	la	DET	18	det
18	sociedad	NOUN	14	nmod
19	como	SCONJ	21	mark
20	las	DET	21	det
21	mujeres	NOUN	14	nmod
22	y	CCONJ	24	cc
23	los	DET	24	det
24	pensionistas	NOUN	21	conj
25	,	PUNCT	26	punct
26	esenciales	ADJ	14	amod
27	para	ADP	28	mark
28	lograr	VERB	26	acl
29	mayorías	NOUN	28	obj
30	parlamentarias	ADJ	29	amod
31	.	PUNCT	12	punct