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 I was pleasantly surprised to find that the Purple Goose's prices are reasonable (for the SAME products found at other area boutiques, the prices were 20-25% cheaper).
Postion	Tokenization
1	but
2	I
3	was
4	pleasantly
5	surprised
6	to
7	find
8	that
9	the
10	Purple
11	Goose's
12	Goose
13	's
14	prices
15	are
16	reasonable
17	(
18	for
19	the
20	SAME
21	products
22	found
23	at
24	other
25	area
26	boutiques
27	,
28	the
29	prices
30	were
31	20
32	-
33	25
34	%
35	cheaper
36	)
37	.
Position	Tokenization	UPOS	Head	Deprel
1	but	CCONJ	5	cc
2	I	PRON	5	nsubj
3	was	AUX	5	cop
4	pleasantly	ADV	5	advmod
5	surprised	ADJ	0	root
6	to	PART	7	mark
7	find	VERB	5	advcl
8	that	SCONJ	15	mark
9	the	DET	11	det
10	Purple	PROPN	11	compound
11	Goose's	_	None	_
12	Goose	PROPN	13	nmod:poss
13	's	PART	11	case
14	prices	NOUN	15	nsubj
15	are	AUX	15	cop
16	reasonable	ADJ	7	ccomp
17	(	PUNCT	34	punct
18	for	ADP	20	case
19	the	DET	20	det
20	SAME	ADJ	20	amod
21	products	NOUN	34	obl
22	found	VERB	20	acl
23	at	ADP	25	case
24	other	ADJ	25	amod
25	area	NOUN	25	compound
26	boutiques	NOUN	21	obl
27	,	PUNCT	34	punct
28	the	DET	28	det
29	prices	NOUN	34	nsubj
30	were	AUX	34	cop
31	20	NUM	33	nummod
32	-	SYM	32	case
33	25	NUM	30	nmod
34	%	SYM	34	obl:npmod
35	cheaper	ADJ	5	parataxis
36	)	PUNCT	34	punct
37	.	PUNCT	5	punct