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:
can i buy a laptop in u.k and then take it to rep.ireland and put a irish pay,go dongle init?
Postion	Tokenization
1	can
2	i
3	buy
4	a
5	laptop
6	in
7	u.k
8	and
9	then
10	take
11	it
12	to
13	rep.
14	ireland
15	and
16	put
17	a
18	irish
19	pay
20	,
21	go
22	dongle
23	in
24	it
25	?
Position	Tokenization	UPOS	Head	Deprel
1	can	AUX	3	aux
2	i	PRON	3	nsubj
3	buy	VERB	0	root
4	a	DET	5	det
5	laptop	NOUN	3	obj
6	in	ADP	7	case
7	u.k	PROPN	3	obl
8	and	CCONJ	10	cc
9	then	ADV	10	advmod
10	take	VERB	3	conj
11	it	PRON	10	obj
12	to	ADP	14	case
13	rep.	PROPN	14	compound
14	ireland	PROPN	10	obl
15	and	CCONJ	16	cc
16	put	VERB	3	conj
17	a	DET	22	det
18	irish	ADJ	22	amod
19	pay	VERB	22	compound
20	,	PUNCT	21	punct
21	go	VERB	19	conj
22	dongle	NOUN	16	obj
23	in	ADP	24	case
24	it	PRON	16	obl
25	?	PUNCT	3	punct