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:
But word of advice if you're get your girlfriend a laptop make sure its a good brand a not something like DELL, Acer, Asus, eMachines etc.
Postion	Tokenization
1	But
2	word
3	of
4	advice
5	if
6	you're
7	you
8	're
9	get
10	your
11	girlfriend
12	a
13	laptop
14	make
15	sure
16	its
17	it
18	s
19	a
20	good
21	brand
22	a
23	not
24	something
25	like
26	DELL
27	,
28	Acer
29	,
30	Asus
31	,
32	eMachines
33	etc
34	.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	2	cc
2	word	NOUN	0	root
3	of	ADP	4	case
4	advice	NOUN	2	nmod
5	if	SCONJ	8	mark
6	you're	_	None	_
7	you	PRON	8	nsubj
8	're	AUX	8	aux
9	get	VERB	13	advcl
10	your	PRON	10	nmod:poss
11	girlfriend	NOUN	8	iobj
12	a	DET	12	det
13	laptop	NOUN	8	obj
14	make	VERB	2	parataxis
15	sure	ADJ	13	xcomp
16	its	_	None	_
17	it	PRON	19	nsubj
18	s	AUX	19	cop
19	a	DET	19	det
20	good	ADJ	19	amod
21	brand	NOUN	14	ccomp
22	a	CCONJ	22	cc
23	not	ADV	22	advmod
24	something	PRON	19	conj
25	like	ADP	24	case
26	DELL	PROPN	22	nmod
27	,	PUNCT	24	punct
28	Acer	PROPN	24	list
29	,	PUNCT	24	punct
30	Asus	PROPN	24	list
31	,	PUNCT	24	punct
32	eMachines	PROPN	24	list
33	etc	X	24	list
34	.	PUNCT	2	punct