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:
The best part is I got my whole bathroom remodeled for about the same price the other company's were quoting just to fix the shower tile and fixtures.
Postion	Tokenization
1	The
2	best
3	part
4	is
5	I
6	got
7	my
8	whole
9	bathroom
10	remodeled
11	for
12	about
13	the
14	same
15	price
16	the
17	other
18	company's
19	were
20	quoting
21	just
22	to
23	fix
24	the
25	shower
26	tile
27	and
28	fixtures
29	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	best	ADJ	3	amod
3	part	NOUN	4	nsubj
4	is	VERB	0	root
5	I	PRON	6	nsubj
6	got	VERB	4	ccomp
7	my	PRON	9	nmod:poss
8	whole	ADJ	9	amod
9	bathroom	NOUN	6	obj
10	remodeled	VERB	6	xcomp
11	for	ADP	15	case
12	about	ADV	15	advmod
13	the	DET	15	det
14	same	ADJ	15	amod
15	price	NOUN	6	obl
16	the	DET	18	det
17	other	ADJ	18	amod
18	company's	NOUN	20	nsubj
19	were	AUX	20	aux
20	quoting	VERB	15	acl:relcl
21	just	ADV	23	advmod
22	to	PART	23	mark
23	fix	VERB	20	advcl
24	the	DET	26	det
25	shower	NOUN	26	compound
26	tile	NOUN	23	obj
27	and	CCONJ	28	cc
28	fixtures	NOUN	26	conj
29	.	PUNCT	4	punct