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 presidente del Gobierno destacó que esta lucha "va más allá de medidas legales, y requiere un cambio cultural, educativo y de concienciación social".
Postion	Tokenization
1	El
2	presidente
3	del
4	Gobierno
5	destacó
6	que
7	esta
8	lucha
9	"
10	va
11	más
12	allá
13	de
14	medidas
15	legales
16	,
17	y
18	requiere
19	un
20	cambio
21	cultural
22	,
23	educativo
24	y
25	de
26	concienciación
27	social
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	5	nsubj
3	del	ADP	4	case
4	Gobierno	PROPN	2	nmod
5	destacó	VERB	0	root
6	que	SCONJ	10	mark
7	esta	DET	8	det
8	lucha	NOUN	10	nsubj
9	"	PUNCT	10	punct
10	va	VERB	5	ccomp
11	más	ADV	12	advmod
12	allá	ADV	10	advmod
13	de	ADP	14	case
14	medidas	NOUN	12	obl
15	legales	ADJ	14	amod
16	,	PUNCT	18	punct
17	y	CCONJ	18	cc
18	requiere	VERB	10	conj
19	un	DET	20	det
20	cambio	NOUN	18	obj
21	cultural	ADJ	20	amod
22	,	PUNCT	23	punct
23	educativo	ADJ	21	conj
24	y	CCONJ	26	cc
25	de	ADP	26	case
26	concienciación	NOUN	21	conj
27	social	ADJ	26	amod
28	"	PUNCT	10	punct
29	.	PUNCT	5	punct