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:
En el asunto social, el presidente señaló que la situación de la educación es "vergonzosa" y dijo que se propone hacer una reforma para dar un apoyo político, técnico y financiero para descentralizar este sector.
Postion	Tokenization
1	En
2	el
3	asunto
4	social
5	,
6	el
7	presidente
8	señaló
9	que
10	la
11	situación
12	de
13	la
14	educación
15	es
16	"
17	vergonzosa
18	"
19	y
20	dijo
21	que
22	se
23	propone
24	hacer
25	una
26	reforma
27	para
28	dar
29	un
30	apoyo
31	político
32	,
33	técnico
34	y
35	financiero
36	para
37	descentralizar
38	este
39	sector
40	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	asunto	NOUN	8	obl
4	social	ADJ	3	amod
5	,	PUNCT	3	punct
6	el	DET	7	det
7	presidente	NOUN	8	nsubj
8	señaló	VERB	0	root
9	que	SCONJ	17	mark
10	la	DET	11	det
11	situación	NOUN	17	nsubj
12	de	ADP	14	case
13	la	DET	14	det
14	educación	NOUN	11	nmod
15	es	AUX	17	cop
16	"	PUNCT	17	punct
17	vergonzosa	ADJ	8	ccomp
18	"	PUNCT	17	punct
19	y	CCONJ	20	cc
20	dijo	VERB	8	conj
21	que	SCONJ	23	mark
22	se	PRON	23	expl:pv
23	propone	VERB	20	ccomp
24	hacer	VERB	23	xcomp
25	una	DET	26	det
26	reforma	NOUN	24	obj
27	para	ADP	28	mark
28	dar	VERB	24	advcl
29	un	DET	30	det
30	apoyo	NOUN	28	obj
31	político	ADJ	30	amod
32	,	PUNCT	33	punct
33	técnico	ADJ	31	conj
34	y	CCONJ	35	cc
35	financiero	ADJ	31	conj
36	para	ADP	37	mark
37	descentralizar	VERB	30	acl
38	este	DET	39	det
39	sector	NOUN	37	obj
40	.	PUNCT	8	punct