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:
Don Felipe visitó a continuación la catedral de la ciudad, considerada como la capilla Sixtina del arte mudéjar, y paseó por el centro correspondiendo con sus saludos al entusiasmo popular que llevó a las calles a, prácticamente, los 30.000 habitantes de Teruel.
Postion	Tokenization
1	Don
2	Felipe
3	visitó
4	a
5	continuación
6	la
7	catedral
8	de
9	la
10	ciudad
11	,
12	considerada
13	como
14	la
15	capilla
16	Sixtina
17	del
18	arte
19	mudéjar
20	,
21	y
22	paseó
23	por
24	el
25	centro
26	correspondiendo
27	con
28	sus
29	saludos
30	al
31	entusiasmo
32	popular
33	que
34	llevó
35	a
36	las
37	calles
38	a
39	,
40	prácticamente
41	,
42	los
43	30.000
44	habitantes
45	de
46	Teruel
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Don	PROPN	3	nsubj
2	Felipe	PROPN	1	flat
3	visitó	VERB	0	root
4	a	ADP	3	advmod
5	continuación	NOUN	4	fixed
6	la	DET	7	det
7	catedral	NOUN	3	obj
8	de	ADP	10	case
9	la	DET	10	det
10	ciudad	NOUN	7	nmod
11	,	PUNCT	12	punct
12	considerada	ADJ	7	amod
13	como	SCONJ	15	mark
14	la	DET	15	det
15	capilla	PROPN	12	obj
16	Sixtina	PROPN	15	flat
17	del	ADP	18	case
18	arte	NOUN	15	nmod
19	mudéjar	ADJ	18	amod
20	,	PUNCT	12	punct
21	y	CCONJ	22	cc
22	paseó	VERB	3	conj
23	por	ADP	25	case
24	el	DET	25	det
25	centro	NOUN	22	obl
26	correspondiendo	VERB	22	advcl
27	con	ADP	29	case
28	sus	DET	29	det
29	saludos	NOUN	26	obl
30	al	ADP	31	case
31	entusiasmo	NOUN	26	obj
32	popular	ADJ	31	amod
33	que	PRON	34	nsubj
34	llevó	VERB	31	acl
35	a	ADP	37	case
36	las	DET	37	det
37	calles	NOUN	34	obl
38	a	ADP	44	case
39	,	PUNCT	40	punct
40	prácticamente	ADV	44	advmod
41	,	PUNCT	40	punct
42	los	DET	43	det
43	30.000	NUM	44	nummod
44	habitantes	NOUN	34	obj
45	de	ADP	46	case
46	Teruel	PROPN	44	nmod
47	.	PUNCT	3	punct