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:
I will never go back to this place and I am reporting them to the better business bureau for such horrible customer relations and basically sabotaging my pizza and taking my $25.
Postion	Tokenization
1	I
2	will
3	never
4	go
5	back
6	to
7	this
8	place
9	and
10	I
11	am
12	reporting
13	them
14	to
15	the
16	better
17	business
18	bureau
19	for
20	such
21	horrible
22	customer
23	relations
24	and
25	basically
26	sabotaging
27	my
28	pizza
29	and
30	taking
31	my
32	$
33	25
34	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	will	AUX	4	aux
3	never	ADV	4	advmod
4	go	VERB	0	root
5	back	ADV	4	advmod
6	to	ADP	8	case
7	this	DET	8	det
8	place	NOUN	5	obl
9	and	CCONJ	12	cc
10	I	PRON	12	nsubj
11	am	AUX	12	aux
12	reporting	VERB	4	conj
13	them	PRON	12	obj
14	to	ADP	18	case
15	the	DET	18	det
16	better	ADJ	17	amod
17	business	NOUN	18	compound
18	bureau	NOUN	12	obl
19	for	ADP	23	case
20	such	ADJ	23	amod
21	horrible	ADJ	23	amod
22	customer	NOUN	23	compound
23	relations	NOUN	12	obl
24	and	CCONJ	26	cc
25	basically	ADV	26	advmod
26	sabotaging	VERB	23	conj
27	my	PRON	28	nmod:poss
28	pizza	NOUN	26	obj
29	and	CCONJ	30	cc
30	taking	VERB	26	conj
31	my	PRON	32	nmod:poss
32	$	SYM	30	obj
33	25	NUM	32	nummod
34	.	PUNCT	4	punct