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 Príncipe dedicó su segundo día de estancia oficial en Aragón a la provincia de Teruel, en donde conoció las vías abiertas por sus habitantes para superar el desequilibrio económico y social que sufre la provincia.
Postion	Tokenization
1	El
2	Príncipe
3	dedicó
4	su
5	segundo
6	día
7	de
8	estancia
9	oficial
10	en
11	Aragón
12	a
13	la
14	provincia
15	de
16	Teruel
17	,
18	en
19	donde
20	conoció
21	las
22	vías
23	abiertas
24	por
25	sus
26	habitantes
27	para
28	superar
29	el
30	desequilibrio
31	económico
32	y
33	social
34	que
35	sufre
36	la
37	provincia
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Príncipe	PROPN	3	nsubj
3	dedicó	VERB	0	root
4	su	DET	6	det
5	segundo	ADJ	6	amod
6	día	NOUN	3	obj
7	de	ADP	8	case
8	estancia	NOUN	6	nmod
9	oficial	ADJ	8	amod
10	en	ADP	11	case
11	Aragón	PROPN	8	nmod
12	a	ADP	14	case
13	la	DET	14	det
14	provincia	NOUN	3	obj
15	de	ADP	16	case
16	Teruel	PROPN	14	nmod
17	,	PUNCT	20	punct
18	en	ADP	19	case
19	donde	PRON	20	obl
20	conoció	VERB	14	acl
21	las	DET	22	det
22	vías	NOUN	20	obj
23	abiertas	ADJ	22	amod
24	por	ADP	26	case
25	sus	DET	26	det
26	habitantes	NOUN	23	obj
27	para	ADP	28	mark
28	superar	VERB	23	advcl
29	el	DET	30	det
30	desequilibrio	NOUN	28	obj
31	económico	ADJ	30	amod
32	y	CCONJ	33	cc
33	social	ADJ	31	conj
34	que	PRON	35	obj
35	sufre	VERB	30	acl
36	la	DET	37	det
37	provincia	NOUN	35	nsubj
38	.	PUNCT	3	punct