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 catedrático Joaquín Prats, director del departamento que engloba a 17 expertos que han coordinado la edición de más de la mitad de los libros de Historia empleados en colegios e institutos de España, asegura que el informe es "injusto, poco riguroso y atento tan sólo a las excepciones".
Postion	Tokenization
1	El
2	catedrático
3	Joaquín
4	Prats
5	,
6	director
7	del
8	departamento
9	que
10	engloba
11	a
12	17
13	expertos
14	que
15	han
16	coordinado
17	la
18	edición
19	de
20	más
21	de
22	la
23	mitad
24	de
25	los
26	libros
27	de
28	Historia
29	empleados
30	en
31	colegios
32	e
33	institutos
34	de
35	España
36	,
37	asegura
38	que
39	el
40	informe
41	es
42	"
43	injusto
44	,
45	poco
46	riguroso
47	y
48	atento
49	tan
50	sólo
51	a
52	las
53	excepciones
54	"
55	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	catedrático	NOUN	37	nsubj
3	Joaquín	PROPN	2	appos
4	Prats	PROPN	3	flat
5	,	PUNCT	6	punct
6	director	NOUN	2	appos
7	del	ADP	8	case
8	departamento	NOUN	6	nmod
9	que	PRON	10	nsubj
10	engloba	VERB	8	acl
11	a	ADP	13	case
12	17	NUM	13	nummod
13	expertos	NOUN	10	obj
14	que	PRON	16	nsubj
15	han	AUX	16	aux
16	coordinado	VERB	13	acl
17	la	DET	18	det
18	edición	NOUN	16	obj
19	de	ADP	26	case
20	más	ADV	23	advmod
21	de	ADP	23	case
22	la	DET	23	det
23	mitad	NOUN	26	nmod
24	de	ADP	23	case
25	los	DET	23	det
26	libros	NOUN	18	nmod
27	de	ADP	28	case
28	Historia	PROPN	26	nmod
29	empleados	ADJ	26	amod
30	en	ADP	31	case
31	colegios	NOUN	29	obl
32	e	CCONJ	33	cc
33	institutos	NOUN	31	conj
34	de	ADP	35	case
35	España	PROPN	31	nmod
36	,	PUNCT	6	punct
37	asegura	VERB	0	root
38	que	SCONJ	43	mark
39	el	DET	40	det
40	informe	NOUN	43	nsubj
41	es	AUX	43	cop
42	"	PUNCT	43	punct
43	injusto	ADJ	37	ccomp
44	,	PUNCT	46	punct
45	poco	ADV	46	advmod
46	riguroso	ADJ	43	amod
47	y	CCONJ	48	cc
48	atento	ADJ	43	conj
49	tan	NOUN	48	advmod
50	sólo	ADV	49	fixed
51	a	ADP	49	case
52	las	DET	53	det
53	excepciones	NOUN	49	nmod
54	"	PUNCT	43	punct
55	.	PUNCT	37	punct