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:
En Albarracín, Don Felipe fue testigo de la forma en que trabajan las escuelas taller, creadas para recuperar un patrimonio artístico y cultural que ha de atraer el turismo de calidad que quiere la zona.
Postion	Tokenization
1	En
2	Albarracín
3	,
4	Don
5	Felipe
6	fue
7	testigo
8	de
9	la
10	forma
11	en
12	que
13	trabajan
14	las
15	escuelas
16	taller
17	,
18	creadas
19	para
20	recuperar
21	un
22	patrimonio
23	artístico
24	y
25	cultural
26	que
27	ha
28	de
29	atraer
30	el
31	turismo
32	de
33	calidad
34	que
35	quiere
36	la
37	zona
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Albarracín	PROPN	7	obl
3	,	PUNCT	2	punct
4	Don	PROPN	7	nsubj
5	Felipe	PROPN	4	flat
6	fue	AUX	7	cop
7	testigo	NOUN	0	root
8	de	ADP	10	case
9	la	DET	10	det
10	forma	NOUN	7	nmod
11	en	ADP	12	case
12	que	PRON	13	obl
13	trabajan	VERB	10	acl
14	las	DET	15	det
15	escuelas	NOUN	13	nsubj
16	taller	NOUN	15	nmod
17	,	PUNCT	18	punct
18	creadas	ADJ	15	amod
19	para	ADP	20	mark
20	recuperar	VERB	18	advcl
21	un	DET	22	det
22	patrimonio	NOUN	20	obj
23	artístico	ADJ	22	amod
24	y	CCONJ	25	cc
25	cultural	ADJ	23	conj
26	que	PRON	29	nsubj
27	ha	AUX	29	aux
28	de	ADP	29	mark
29	atraer	VERB	22	acl
30	el	DET	31	det
31	turismo	NOUN	29	obj
32	de	ADP	33	case
33	calidad	NOUN	31	nmod
34	que	PRON	35	obj
35	quiere	VERB	31	acl
36	la	DET	37	det
37	zona	NOUN	35	nsubj
38	.	PUNCT	7	punct