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:
Reafirmó el papel del Estado en la adopción de políticas para fomentar el desarrollo humano y la igualdad, y para dar prioridad a la educación, la salud y conservación del medio ambiente.
Postion	Tokenization
1	Reafirmó
2	el
3	papel
4	del
5	Estado
6	en
7	la
8	adopción
9	de
10	políticas
11	para
12	fomentar
13	el
14	desarrollo
15	humano
16	y
17	la
18	igualdad
19	,
20	y
21	para
22	dar
23	prioridad
24	a
25	la
26	educación
27	,
28	la
29	salud
30	y
31	conservación
32	del
33	medio
34	ambiente
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Reafirmó	VERB	0	root
2	el	DET	3	det
3	papel	NOUN	1	obj
4	del	ADP	5	case
5	Estado	PROPN	3	nmod
6	en	ADP	8	case
7	la	DET	8	det
8	adopción	NOUN	1	obl
9	de	ADP	10	case
10	políticas	NOUN	8	nmod
11	para	ADP	12	mark
12	fomentar	VERB	10	acl
13	el	DET	14	det
14	desarrollo	NOUN	12	obj
15	humano	ADJ	14	amod
16	y	CCONJ	18	cc
17	la	DET	18	det
18	igualdad	NOUN	14	conj
19	,	PUNCT	12	punct
20	y	CCONJ	22	cc
21	para	ADP	22	mark
22	dar	VERB	12	conj
23	prioridad	NOUN	22	obj
24	a	ADP	26	case
25	la	DET	26	det
26	educación	NOUN	22	obj
27	,	PUNCT	29	punct
28	la	DET	29	det
29	salud	NOUN	26	appos
30	y	CCONJ	31	cc
31	conservación	NOUN	26	conj
32	del	ADP	33	case
33	medio	NOUN	31	nmod
34	ambiente	NOUN	33	compound
35	.	PUNCT	1	punct