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 know a lot of people say to wait until he calls you, but it's different because I'm a client and technically that's all I am at this point.
Postion	Tokenization
1	I
2	know
3	a
4	lot
5	of
6	people
7	say
8	to
9	wait
10	until
11	he
12	calls
13	you
14	,
15	but
16	it's
17	it
18	's
19	different
20	because
21	I'm
22	I
23	'm
24	a
25	client
26	and
27	technically
28	that's
29	that
30	's
31	all
32	I
33	am
34	at
35	this
36	point
37	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	know	VERB	0	root
3	a	DET	4	det
4	lot	NOUN	7	nsubj
5	of	ADP	6	case
6	people	NOUN	4	nmod
7	say	VERB	2	ccomp
8	to	PART	9	mark
9	wait	VERB	7	xcomp
10	until	SCONJ	12	mark
11	he	PRON	12	nsubj
12	calls	VERB	9	advcl
13	you	PRON	12	obj
14	,	PUNCT	18	punct
15	but	CCONJ	18	cc
16	it's	_	None	_
17	it	PRON	18	nsubj
18	's	AUX	18	cop
19	different	ADJ	2	conj
20	because	SCONJ	23	mark
21	I'm	_	None	_
22	I	PRON	23	nsubj
23	'm	AUX	23	cop
24	a	DET	23	det
25	client	NOUN	18	advcl
26	and	CCONJ	28	cc
27	technically	ADV	28	advmod
28	that's	_	None	_
29	that	PRON	28	nsubj
30	's	AUX	28	cop
31	all	DET	23	conj
32	I	PRON	33	nsubj
33	am	AUX	33	cop
34	at	ADP	33	case
35	this	DET	33	det
36	point	NOUN	28	acl:relcl
37	.	PUNCT	2	punct