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:
Barrios entró acto seguido en una disquisición sobre el concepto de prostituta según la Iglesia, y prácticamente dio por supuesto que se estaba hablando de una mujer dedicada a esa profesión.
Postion	Tokenization
1	Barrios
2	entró
3	acto
4	seguido
5	en
6	una
7	disquisición
8	sobre
9	el
10	concepto
11	de
12	prostituta
13	según
14	la
15	Iglesia
16	,
17	y
18	prácticamente
19	dio
20	por
21	supuesto
22	que
23	se
24	estaba
25	hablando
26	de
27	una
28	mujer
29	dedicada
30	a
31	esa
32	profesión
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Barrios	PROPN	2	nsubj
2	entró	VERB	0	root
3	acto	NOUN	2	obl
4	seguido	ADJ	3	amod
5	en	ADP	7	case
6	una	DET	7	det
7	disquisición	NOUN	2	obl
8	sobre	ADP	10	case
9	el	DET	10	det
10	concepto	NOUN	7	nmod
11	de	ADP	12	case
12	prostituta	NOUN	10	nmod
13	según	ADP	15	case
14	la	DET	15	det
15	Iglesia	PROPN	10	nmod
16	,	PUNCT	19	punct
17	y	CCONJ	19	cc
18	prácticamente	ADV	19	advmod
19	dio	VERB	2	conj
20	por	ADV	19	advmod
21	supuesto	ADJ	20	amod
22	que	SCONJ	25	mark
23	se	PRON	25	expl:impers
24	estaba	AUX	25	aux
25	hablando	VERB	19	ccomp
26	de	ADP	28	case
27	una	DET	28	det
28	mujer	NOUN	25	obj
29	dedicada	ADJ	28	amod
30	a	ADP	32	case
31	esa	DET	32	det
32	profesión	NOUN	29	obj
33	.	PUNCT	2	punct