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:
BRENDAN Comiskey, obispo de Ferns, en el suroeste de Irlanda, tomó esta decisión tras la emisión de un programa de televisión sobre un escándalo sexual que tuvo lugar en su diócesis.
Postion	Tokenization
1	BRENDAN
2	Comiskey
3	,
4	obispo
5	de
6	Ferns
7	,
8	en
9	el
10	suroeste
11	de
12	Irlanda
13	,
14	tomó
15	esta
16	decisión
17	tras
18	la
19	emisión
20	de
21	un
22	programa
23	de
24	televisión
25	sobre
26	un
27	escándalo
28	sexual
29	que
30	tuvo
31	lugar
32	en
33	su
34	diócesis
35	.
Position	Tokenization	UPOS	Head	Deprel
1	BRENDAN	PROPN	14	nsubj
2	Comiskey	PROPN	1	flat
3	,	PUNCT	4	punct
4	obispo	NOUN	1	appos
5	de	ADP	6	case
6	Ferns	PROPN	4	nmod
7	,	PUNCT	10	punct
8	en	ADP	10	case
9	el	DET	10	det
10	suroeste	NOUN	6	nmod
11	de	ADP	12	case
12	Irlanda	PROPN	10	nmod
13	,	PUNCT	10	punct
14	tomó	VERB	0	root
15	esta	DET	16	det
16	decisión	NOUN	14	obj
17	tras	ADP	19	case
18	la	DET	19	det
19	emisión	NOUN	14	obl
20	de	ADP	22	case
21	un	DET	22	det
22	programa	NOUN	19	nmod
23	de	ADP	24	case
24	televisión	NOUN	22	nmod
25	sobre	ADP	27	case
26	un	DET	27	det
27	escándalo	NOUN	22	nmod
28	sexual	ADJ	27	amod
29	que	PRON	30	nsubj
30	tuvo	VERB	27	acl
31	lugar	NOUN	30	compound
32	en	ADP	34	case
33	su	DET	34	det
34	diócesis	NOUN	30	obl
35	.	PUNCT	14	punct