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:
También afirmó que impulsará acciones para conseguir las condiciones que garanticen el pleno desarrollo de los indígenas, atender la demanda de tierras y dar participación a las mujeres en las decisiones políticas.
Postion	Tokenization
1	También
2	afirmó
3	que
4	impulsará
5	acciones
6	para
7	conseguir
8	las
9	condiciones
10	que
11	garanticen
12	el
13	pleno
14	desarrollo
15	de
16	los
17	indígenas
18	,
19	atender
20	la
21	demanda
22	de
23	tierras
24	y
25	dar
26	participación
27	a
28	las
29	mujeres
30	en
31	las
32	decisiones
33	políticas
34	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	2	advmod
2	afirmó	VERB	0	root
3	que	SCONJ	4	mark
4	impulsará	VERB	2	ccomp
5	acciones	NOUN	4	obj
6	para	ADP	7	mark
7	conseguir	VERB	4	advcl
8	las	DET	9	det
9	condiciones	NOUN	7	obj
10	que	PRON	11	nsubj
11	garanticen	VERB	9	acl
12	el	DET	14	det
13	pleno	ADJ	14	amod
14	desarrollo	NOUN	11	obj
15	de	ADP	17	case
16	los	DET	17	det
17	indígenas	NOUN	14	nmod
18	,	PUNCT	19	punct
19	atender	VERB	7	advcl
20	la	DET	21	det
21	demanda	NOUN	19	obj
22	de	ADP	23	case
23	tierras	NOUN	21	nmod
24	y	CCONJ	25	cc
25	dar	VERB	7	conj
26	participación	NOUN	25	obj
27	a	ADP	29	case
28	las	DET	29	det
29	mujeres	NOUN	25	obj
30	en	ADP	32	case
31	las	DET	32	det
32	decisiones	NOUN	25	obl
33	políticas	ADJ	32	amod
34	.	PUNCT	2	punct