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:
When I found out them came up with the Nook Tablet, I was pretty disappointed though, because I bought my Nook color for the same darn price!
Postion	Tokenization
1	When
2	I
3	found
4	out
5	them
6	came
7	up
8	with
9	the
10	Nook
11	Tablet
12	,
13	I
14	was
15	pretty
16	disappointed
17	though
18	,
19	because
20	I
21	bought
22	my
23	Nook
24	color
25	for
26	the
27	same
28	darn
29	price
30	!
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	3	mark
2	I	PRON	3	nsubj
3	found	VERB	16	advcl
4	out	ADP	3	compound:prt
5	them	PRON	6	nsubj
6	came	VERB	3	ccomp
7	up	ADV	6	advmod
8	with	ADP	11	case
9	the	DET	11	det
10	Nook	PROPN	11	compound
11	Tablet	PROPN	6	obl
12	,	PUNCT	16	punct
13	I	PRON	16	nsubj
14	was	AUX	16	cop
15	pretty	ADV	16	advmod
16	disappointed	ADJ	0	root
17	though	ADV	16	advmod
18	,	PUNCT	16	punct
19	because	SCONJ	21	mark
20	I	PRON	21	nsubj
21	bought	VERB	16	advcl
22	my	PRON	24	nmod:poss
23	Nook	PROPN	24	compound
24	color	PROPN	21	obj
25	for	ADP	29	case
26	the	DET	29	det
27	same	ADJ	29	amod
28	darn	NOUN	29	compound
29	price	NOUN	24	nmod
30	!	PUNCT	16	punct