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 realidad, la hermana Capitani confiesa que en sus rezos de aquellos días se dirigió a otro abogado celestial, la Virgen de Pompeya: "Era la misma que había invocado mi madre para llevarme al mundo, después de dos hermanos y del parecer contrario de los médicos".
Postion	Tokenization
1	En
2	realidad
3	,
4	la
5	hermana
6	Capitani
7	confiesa
8	que
9	en
10	sus
11	rezos
12	de
13	aquellos
14	días
15	se
16	dirigió
17	a
18	otro
19	abogado
20	celestial
21	,
22	la
23	Virgen
24	de
25	Pompeya
26	:
27	"
28	Era
29	la
30	misma
31	que
32	había
33	invocado
34	mi
35	madre
36	para
37	llevarme
38	llevar
39	me
40	al
41	mundo
42	,
43	después
44	de
45	dos
46	hermanos
47	y
48	del
49	parecer
50	contrario
51	de
52	los
53	médicos
54	"
55	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	7	advmod
2	realidad	NOUN	1	fixed
3	,	PUNCT	1	punct
4	la	DET	5	det
5	hermana	NOUN	7	nsubj
6	Capitani	PROPN	5	appos
7	confiesa	VERB	0	root
8	que	SCONJ	16	mark
9	en	ADP	11	case
10	sus	DET	11	det
11	rezos	NOUN	16	obl
12	de	ADP	14	case
13	aquellos	DET	14	det
14	días	NOUN	11	nmod
15	se	PRON	16	expl:pv
16	dirigió	VERB	7	ccomp
17	a	ADP	19	case
18	otro	DET	19	det
19	abogado	NOUN	16	obj
20	celestial	ADJ	19	amod
21	,	PUNCT	23	punct
22	la	DET	23	det
23	Virgen	PROPN	19	appos
24	de	ADP	25	case
25	Pompeya	PROPN	23	flat
26	:	PUNCT	30	punct
27	"	PUNCT	30	punct
28	Era	AUX	30	cop
29	la	DET	30	det
30	misma	PRON	7	advcl
31	que	PRON	33	obj
32	había	AUX	33	aux
33	invocado	VERB	30	acl
34	mi	DET	35	det
35	madre	NOUN	33	nsubj
36	para	ADP	37	mark
37	llevarme	_	None	_
38	llevar	VERB	33	advcl
39	me	PRON	37	obj
40	al	ADP	40	case
41	mundo	NOUN	37	obj
42	,	PUNCT	42	punct
43	después	ADV	37	advmod
44	de	ADP	45	case
45	dos	NUM	45	nummod
46	hermanos	NOUN	42	obl
47	y	CCONJ	48	cc
48	del	ADP	48	case
49	parecer	NOUN	45	conj
50	contrario	ADJ	48	amod
51	de	ADP	52	case
52	los	DET	52	det
53	médicos	NOUN	48	nmod
54	"	PUNCT	30	punct
55	.	PUNCT	7	punct