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:
On the other hand though, if I'm a client he should really of called back by now because you don't leave a customer hanging.
Postion	Tokenization
1	On
2	the
3	other
4	hand
5	though
6	,
7	if
8	I'm
9	I
10	'm
11	a
12	client
13	he
14	should
15	really
16	of
17	called
18	back
19	by
20	now
21	because
22	you
23	don't
24	do
25	n't
26	leave
27	a
28	customer
29	hanging
30	.
Position	Tokenization	UPOS	Head	Deprel
1	On	ADP	4	case
2	the	DET	4	det
3	other	ADJ	4	amod
4	hand	NOUN	16	obl
5	though	ADV	16	advmod
6	,	PUNCT	16	punct
7	if	SCONJ	11	mark
8	I'm	_	None	_
9	I	PRON	11	nsubj
10	'm	AUX	11	cop
11	a	DET	11	det
12	client	NOUN	16	advcl
13	he	PRON	16	nsubj
14	should	AUX	16	aux
15	really	ADV	16	advmod
16	of	AUX	16	aux
17	called	VERB	0	root
18	back	ADP	16	compound:prt
19	by	ADP	19	case
20	now	ADV	16	obl
21	because	SCONJ	24	mark
22	you	PRON	24	nsubj
23	don't	_	None	_
24	do	AUX	24	aux
25	n't	PART	24	advmod
26	leave	VERB	16	advcl
27	a	DET	26	det
28	customer	NOUN	24	obj
29	hanging	VERB	24	xcomp
30	.	PUNCT	16	punct