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:
Un informe de la Real Academia de la Historia hecho público esta semana acusó a las comunidades autónomas, en particular a Catalunya, el País Vasco y Galicia, de "tergiversar" la enseñanza de esta disciplina, y convertirla en "una historia local, discontinua y particularista".
Postion	Tokenization
1	Un
2	informe
3	de
4	la
5	Real
6	Academia
7	de
8	la
9	Historia
10	hecho
11	público
12	esta
13	semana
14	acusó
15	a
16	las
17	comunidades
18	autónomas
19	,
20	en
21	particular
22	a
23	Catalunya
24	,
25	el
26	País
27	Vasco
28	y
29	Galicia
30	,
31	de
32	"
33	tergiversar
34	"
35	la
36	enseñanza
37	de
38	esta
39	disciplina
40	,
41	y
42	convertirla
43	convertir
44	la
45	en
46	"
47	una
48	historia
49	local
50	,
51	discontinua
52	y
53	particularista
54	"
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	informe	NOUN	14	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Real	PROPN	2	nmod
6	Academia	PROPN	5	flat
7	de	ADP	9	case
8	la	DET	9	det
9	Historia	PROPN	5	flat
10	hecho	ADJ	2	amod
11	público	ADJ	10	obj
12	esta	DET	13	det
13	semana	NOUN	10	obl
14	acusó	VERB	0	root
15	a	ADP	17	case
16	las	DET	17	det
17	comunidades	NOUN	14	iobj
18	autónomas	ADJ	17	amod
19	,	PUNCT	20	punct
20	en	ADP	17	advmod
21	particular	NOUN	20	fixed
22	a	ADP	20	case
23	Catalunya	PROPN	20	nmod
24	,	PUNCT	26	punct
25	el	DET	26	det
26	País	PROPN	23	flat
27	Vasco	PROPN	26	flat
28	y	CCONJ	29	cc
29	Galicia	PROPN	23	conj
30	,	PUNCT	20	punct
31	de	ADP	33	mark
32	"	PUNCT	33	punct
33	tergiversar	VERB	14	xcomp
34	"	PUNCT	36	punct
35	la	DET	36	det
36	enseñanza	NOUN	33	obj
37	de	ADP	39	case
38	esta	DET	39	det
39	disciplina	NOUN	36	nmod
40	,	PUNCT	42	punct
41	y	CCONJ	42	cc
42	convertirla	_	None	_
43	convertir	VERB	33	conj
44	la	PRON	42	obj
45	en	ADP	47	case
46	"	PUNCT	47	punct
47	una	DET	47	det
48	historia	NOUN	42	obj
49	local	ADJ	47	amod
50	,	PUNCT	50	punct
51	discontinua	ADJ	48	conj
52	y	CCONJ	52	cc
53	particularista	ADJ	48	conj
54	"	PUNCT	47	punct
55	.	PUNCT	14	punct