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:
This is, after all, his business, and if he wants you to remain a customer why on earth is he doing shoddy work?
Postion	Tokenization
1	This
2	is
3	,
4	after
5	all
6	,
7	his
8	business
9	,
10	and
11	if
12	he
13	wants
14	you
15	to
16	remain
17	a
18	customer
19	why
20	on
21	earth
22	is
23	he
24	doing
25	shoddy
26	work
27	?
Position	Tokenization	UPOS	Head	Deprel
1	This	PRON	8	nsubj
2	is	AUX	8	cop
3	,	PUNCT	8	punct
4	after	ADV	5	advmod
5	all	ADV	8	advmod
6	,	PUNCT	8	punct
7	his	PRON	8	nmod:poss
8	business	NOUN	0	root
9	,	PUNCT	24	punct
10	and	CCONJ	24	cc
11	if	SCONJ	13	mark
12	he	PRON	13	nsubj
13	wants	VERB	24	advcl
14	you	PRON	13	obj
15	to	PART	16	mark
16	remain	VERB	13	xcomp
17	a	DET	18	det
18	customer	NOUN	16	xcomp
19	why	ADV	24	advmod
20	on	ADP	21	case
21	earth	NOUN	19	obl
22	is	AUX	24	aux
23	he	PRON	24	nsubj
24	doing	VERB	8	conj
25	shoddy	ADJ	26	amod
26	work	NOUN	24	obj
27	?	PUNCT	8	punct