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 looking at the bose sound dock 10 ive currently got a jvc mini hifi system, i was wondering what would be a good set of speakers.
Postion	Tokenization
1	I've
2	I
3	've
4	been
5	looking
6	at
7	the
8	bose
9	sound
10	dock
11	10
12	ive
13	i
14	ve
15	currently
16	got
17	a
18	jvc
19	mini
20	hifi
21	system
22	,
23	i
24	was
25	wondering
26	what
27	would
28	be
29	a
30	good
31	set
32	of
33	speakers
34	.
Position	Tokenization	UPOS	Head	Deprel
1	I've	_	None	_
2	I	PRON	4	nsubj
3	've	AUX	4	aux
4	been	AUX	4	aux
5	looking	VERB	0	root
6	at	ADP	9	case
7	the	DET	9	det
8	bose	PROPN	9	compound
9	sound	PROPN	9	compound
10	dock	PROPN	4	obl
11	10	NUM	9	nummod
12	ive	_	None	_
13	i	PRON	14	nsubj
14	ve	AUX	14	aux
15	currently	ADV	14	advmod
16	got	VERB	4	parataxis
17	a	DET	19	det
18	jvc	PROPN	19	compound
19	mini	X	19	compound
20	hifi	NOUN	19	compound
21	system	NOUN	14	obj
22	,	PUNCT	4	punct
23	i	PRON	23	nsubj
24	was	AUX	23	aux
25	wondering	VERB	4	parataxis
26	what	PRON	29	nsubj
27	would	AUX	29	aux
28	be	AUX	29	cop
29	a	DET	29	det
30	good	ADJ	29	amod
31	set	NOUN	23	ccomp
32	of	ADP	31	case
33	speakers	NOUN	29	nmod
34	.	PUNCT	4	punct