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:
Got the tile ripped out, call today, now all the sudden this grinder won't leave a finished look AND it's $125 PLUS around $75 for the inserts.
Postion	Tokenization
1	Got
2	the
3	tile
4	ripped
5	out
6	,
7	call
8	today
9	,
10	now
11	all
12	the
13	sudden
14	this
15	grinder
16	won't
17	wo
18	n't
19	leave
20	a
21	finished
22	look
23	AND
24	it's
25	it
26	's
27	$
28	125
29	PLUS
30	around
31	$
32	75
33	for
34	the
35	inserts
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Got	VERB	0	root
2	the	DET	3	det
3	tile	NOUN	1	obj
4	ripped	VERB	1	xcomp
5	out	ADP	4	compound:prt
6	,	PUNCT	1	punct
7	call	VERB	1	parataxis
8	today	NOUN	7	obl:tmod
9	,	PUNCT	1	punct
10	now	ADV	18	advmod
11	all	ADV	13	advmod
12	the	ADV	13	advmod
13	sudden	ADV	18	obl:tmod
14	this	DET	15	det
15	grinder	NOUN	18	nsubj
16	won't	_	None	_
17	wo	AUX	18	aux
18	n't	PART	18	advmod
19	leave	VERB	1	parataxis
20	a	DET	21	det
21	finished	VERB	21	amod
22	look	NOUN	18	obj
23	AND	CCONJ	25	cc
24	it's	_	None	_
25	it	PRON	25	nsubj
26	's	AUX	25	cop
27	$	SYM	18	conj
28	125	NUM	25	nummod
29	PLUS	CCONJ	29	cc
30	around	ADV	29	advmod
31	$	SYM	25	conj
32	75	NUM	29	compound
33	for	ADP	33	case
34	the	DET	33	det
35	inserts	NOUN	29	nmod
36	.	PUNCT	1	punct