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:
I've been given the opportunity to live in Limerick, Ireland, next year as part of my course..if you know about Limerick, what are the pros and cons?
Postion	Tokenization
1	I've
2	I
3	've
4	been
5	given
6	the
7	opportunity
8	to
9	live
10	in
11	Limerick
12	,
13	Ireland
14	,
15	next
16	year
17	as
18	part
19	of
20	my
21	course
22	..
23	if
24	you
25	know
26	about
27	Limerick
28	,
29	what
30	are
31	the
32	pros
33	and
34	cons
35	?
Position	Tokenization	UPOS	Head	Deprel
1	I've	_	None	_
2	I	PRON	4	nsubj:pass
3	've	AUX	4	aux
4	been	AUX	4	aux:pass
5	given	VERB	0	root
6	the	DET	6	det
7	opportunity	NOUN	4	obj
8	to	PART	8	mark
9	live	VERB	6	acl
10	in	ADP	10	case
11	Limerick	PROPN	8	obl
12	,	PUNCT	10	punct
13	Ireland	PROPN	10	compound
14	,	PUNCT	8	punct
15	next	ADJ	15	amod
16	year	NOUN	8	obl:tmod
17	as	ADP	17	case
18	part	NOUN	8	obl
19	of	ADP	20	case
20	my	PRON	20	nmod:poss
21	course	NOUN	17	nmod
22	..	PUNCT	4	punct
23	if	SCONJ	24	mark
24	you	PRON	24	nsubj
25	know	VERB	28	advcl
26	about	ADP	26	case
27	Limerick	PROPN	24	obl
28	,	PUNCT	31	punct
29	what	PRON	4	parataxis
30	are	AUX	28	cop
31	the	DET	31	det
32	pros	NOUN	28	nsubj
33	and	CCONJ	33	cc
34	cons	NOUN	31	conj
35	?	PUNCT	4	punct