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:
No business is going to push customers away without good reason; so isn't it reasonable to think they might know what they're doing?
Postion	Tokenization
1	No
2	business
3	is
4	going
5	to
6	push
7	customers
8	away
9	without
10	good
11	reason
12	;
13	so
14	isn't
15	is
16	n't
17	it
18	reasonable
19	to
20	think
21	they
22	might
23	know
24	what
25	they're
26	they
27	're
28	doing
29	?
Position	Tokenization	UPOS	Head	Deprel
1	No	DET	2	det
2	business	NOUN	4	nsubj
3	is	AUX	4	aux
4	going	VERB	0	root
5	to	PART	6	mark
6	push	VERB	4	xcomp
7	customers	NOUN	6	obj
8	away	ADV	6	advmod
9	without	ADP	11	case
10	good	ADJ	11	amod
11	reason	NOUN	6	obl
12	;	PUNCT	4	punct
13	so	ADV	17	advmod
14	isn't	_	None	_
15	is	AUX	17	cop
16	n't	PART	17	advmod
17	it	PRON	17	expl
18	reasonable	ADJ	4	parataxis
19	to	PART	19	mark
20	think	VERB	17	csubj
21	they	PRON	22	nsubj
22	might	AUX	22	aux
23	know	VERB	19	ccomp
24	what	PRON	26	obj
25	they're	_	None	_
26	they	PRON	26	nsubj
27	're	AUX	26	aux
28	doing	VERB	22	ccomp
29	?	PUNCT	4	punct