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 want to buy a laptop for my girlfriend in ireland,would she be able to just use the dongle she uses for her pc and put it straight in the laptop and it work like normall?
Postion	Tokenization
1	i
2	want
3	to
4	buy
5	a
6	laptop
7	for
8	my
9	girlfriend
10	in
11	ireland
12	,
13	would
14	she
15	be
16	able
17	to
18	just
19	use
20	the
21	dongle
22	she
23	uses
24	for
25	her
26	pc
27	and
28	put
29	it
30	straight
31	in
32	the
33	laptop
34	and
35	it
36	work
37	like
38	normall
39	?
Position	Tokenization	UPOS	Head	Deprel
1	i	PRON	2	nsubj
2	want	VERB	0	root
3	to	PART	4	mark
4	buy	VERB	2	xcomp
5	a	DET	6	det
6	laptop	NOUN	4	obj
7	for	ADP	9	case
8	my	PRON	9	nmod:poss
9	girlfriend	NOUN	4	obl
10	in	ADP	11	case
11	ireland	PROPN	9	nmod
12	,	PUNCT	2	punct
13	would	AUX	16	aux
14	she	PRON	16	nsubj
15	be	AUX	16	cop
16	able	ADJ	2	parataxis
17	to	PART	19	mark
18	just	ADV	19	advmod
19	use	VERB	16	xcomp
20	the	DET	21	det
21	dongle	NOUN	19	obj
22	she	PRON	23	nsubj
23	uses	VERB	21	acl:relcl
24	for	ADP	26	case
25	her	PRON	26	nmod:poss
26	pc	NOUN	23	obl
27	and	CCONJ	28	cc
28	put	VERB	19	conj
29	it	PRON	28	obj
30	straight	ADV	33	advmod
31	in	ADP	33	case
32	the	DET	33	det
33	laptop	NOUN	28	obl
34	and	CCONJ	36	cc
35	it	PRON	36	nsubj
36	work	VERB	19	conj
37	like	ADP	38	case
38	normall	ADJ	36	obl
39	?	PUNCT	2	punct