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:
Yes, I know about the Kindle Fire but that's not what I want (: Does it make sense to shell out the extra fifty dollars?
Postion	Tokenization
1	Yes
2	,
3	I
4	know
5	about
6	the
7	Kindle
8	Fire
9	but
10	that's
11	that
12	's
13	not
14	what
15	I
16	want
17	(:
18	Does
19	it
20	make
21	sense
22	to
23	shell
24	out
25	the
26	extra
27	fifty
28	dollars
29	?
Position	Tokenization	UPOS	Head	Deprel
1	Yes	INTJ	4	discourse
2	,	PUNCT	4	punct
3	I	PRON	4	nsubj
4	know	VERB	0	root
5	about	ADP	8	case
6	the	DET	8	det
7	Kindle	PROPN	8	compound
8	Fire	PROPN	4	obl
9	but	CCONJ	11	cc
10	that's	_	None	_
11	that	PRON	4	nsubj
12	's	VERB	4	conj
13	not	PART	4	advmod
14	what	PRON	4	conj
15	I	PRON	15	nsubj
16	want	VERB	13	acl:relcl
17	(:	SYM	4	discourse
18	Does	AUX	19	aux
19	it	PRON	19	expl
20	make	VERB	4	parataxis
21	sense	NOUN	19	obj
22	to	PART	22	mark
23	shell	VERB	19	csubj
24	out	ADP	22	compound:prt
25	the	DET	27	det
26	extra	NOUN	27	compound
27	fifty	NUM	27	nummod
28	dollars	NOUN	22	obj
29	?	PUNCT	4	punct