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 mejor ejemplo de esa tendencia - dijo el Príncipe de Asturias en el discurso que pronunció en inglés - son por supuesto las redes instantáneas de comunicación que facilita internet, aunque hay también otros caminos para llegar a las personas".
Postion	Tokenization
1	"
2	El
3	mejor
4	ejemplo
5	de
6	esa
7	tendencia
8	-
9	dijo
10	el
11	Príncipe
12	de
13	Asturias
14	en
15	el
16	discurso
17	que
18	pronunció
19	en
20	inglés
21	-
22	son
23	por
24	supuesto
25	las
26	redes
27	instantáneas
28	de
29	comunicación
30	que
31	facilita
32	internet
33	,
34	aunque
35	hay
36	también
37	otros
38	caminos
39	para
40	llegar
41	a
42	las
43	personas
44	"
45	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	26	punct
2	El	DET	4	det
3	mejor	ADJ	4	amod
4	ejemplo	NOUN	26	nsubj
5	de	ADP	7	case
6	esa	DET	7	det
7	tendencia	NOUN	4	nmod
8	-	PUNCT	9	punct
9	dijo	VERB	26	parataxis
10	el	DET	11	det
11	Príncipe	PROPN	9	nsubj
12	de	ADP	13	case
13	Asturias	PROPN	11	flat
14	en	ADP	16	case
15	el	DET	16	det
16	discurso	NOUN	9	obl
17	que	PRON	18	obj
18	pronunció	VERB	16	acl
19	en	ADP	20	case
20	inglés	NOUN	18	obl
21	-	PUNCT	9	punct
22	son	AUX	26	cop
23	por	ADP	26	advmod
24	supuesto	NOUN	23	fixed
25	las	DET	26	det
26	redes	NOUN	0	root
27	instantáneas	ADJ	26	amod
28	de	ADP	29	case
29	comunicación	NOUN	26	nmod
30	que	PRON	31	obj
31	facilita	VERB	26	acl
32	internet	NOUN	31	nsubj
33	,	PUNCT	35	punct
34	aunque	SCONJ	35	mark
35	hay	AUX	26	advcl
36	también	ADV	35	advmod
37	otros	DET	38	det
38	caminos	NOUN	35	obj
39	para	ADP	40	mark
40	llegar	VERB	38	acl
41	a	ADP	43	case
42	las	DET	43	det
43	personas	NOUN	40	obl
44	"	PUNCT	26	punct
45	.	PUNCT	26	punct