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:
Se le ocurrió leer la "Guerra de Troya", de George Grote, y de allí se fue al "Dictionaire historique et critique", de Pierre Bayle (1697); se dio cuenta que, ante tanta erudición, hacía falta mucho valor para escribir sobre Elena de Troya, pues los investigadores no aceptarían fácilmente un trabajo trivial.
Postion	Tokenization
1	Se
2	le
3	ocurrió
4	leer
5	la
6	"
7	Guerra
8	de
9	Troya
10	"
11	,
12	de
13	George
14	Grote
15	,
16	y
17	de
18	allí
19	se
20	fue
21	al
22	"
23	Dictionaire
24	historique
25	et
26	critique
27	"
28	,
29	de
30	Pierre
31	Bayle
32	(
33	1697
34	)
35	;
36	se
37	dio
38	cuenta
39	que
40	,
41	ante
42	tanta
43	erudición
44	,
45	hacía
46	falta
47	mucho
48	valor
49	para
50	escribir
51	sobre
52	Elena
53	de
54	Troya
55	,
56	pues
57	los
58	investigadores
59	no
60	aceptarían
61	fácilmente
62	un
63	trabajo
64	trivial
65	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	3	expl:pv
2	le	PRON	3	obj
3	ocurrió	VERB	0	root
4	leer	VERB	3	csubj
5	la	DET	7	det
6	"	PUNCT	7	punct
7	Guerra	PROPN	4	obj
8	de	ADP	9	case
9	Troya	PROPN	7	flat
10	"	PUNCT	7	punct
11	,	PUNCT	13	punct
12	de	ADP	13	case
13	George	PROPN	7	nmod
14	Grote	PROPN	13	flat
15	,	PUNCT	13	punct
16	y	CCONJ	20	cc
17	de	ADP	18	case
18	allí	ADV	20	advmod
19	se	PRON	20	expl:pv
20	fue	VERB	3	conj
21	al	ADP	23	case
22	"	PUNCT	23	punct
23	Dictionaire	PROPN	20	obl
24	historique	PROPN	23	flat
25	et	PROPN	23	flat
26	critique	PROPN	23	flat
27	"	PUNCT	23	punct
28	,	PUNCT	30	punct
29	de	ADP	30	case
30	Pierre	PROPN	23	nmod
31	Bayle	PROPN	30	flat
32	(	PUNCT	33	punct
33	1697	NOUN	23	appos
34	)	PUNCT	33	punct
35	;	PUNCT	3	punct
36	se	PRON	37	expl:pv
37	dio	VERB	3	advcl
38	cuenta	NOUN	37	compound
39	que	SCONJ	45	mark
40	,	PUNCT	43	punct
41	ante	ADP	43	case
42	tanta	DET	43	det
43	erudición	NOUN	45	obl
44	,	PUNCT	43	punct
45	hacía	VERB	37	ccomp
46	falta	NOUN	45	compound
47	mucho	DET	48	det
48	valor	NOUN	45	nsubj
49	para	ADP	50	mark
50	escribir	VERB	45	advcl
51	sobre	ADP	52	case
52	Elena	PROPN	50	obl
53	de	ADP	54	case
54	Troya	PROPN	52	flat
55	,	PUNCT	60	punct
56	pues	SCONJ	60	mark
57	los	DET	58	det
58	investigadores	NOUN	60	nsubj
59	no	ADV	60	advmod
60	aceptarían	VERB	45	advcl
61	fácilmente	ADV	60	advmod
62	un	DET	63	det
63	trabajo	NOUN	60	obj
64	trivial	ADJ	63	amod
65	.	PUNCT	3	punct