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:
To answer Barry White, yes that did occur to me :) I hope that is all he's waiting for.
Postion	Tokenization
1	To
2	answer
3	Barry
4	White
5	,
6	yes
7	that
8	did
9	occur
10	to
11	me
12	:)
13	I
14	hope
15	that
16	is
17	all
18	he's
19	he
20	's
21	waiting
22	for
23	.
Position	Tokenization	UPOS	Head	Deprel
1	To	PART	2	mark
2	answer	VERB	9	advcl
3	Barry	PROPN	2	obj
4	White	PROPN	3	flat
5	,	PUNCT	9	punct
6	yes	INTJ	9	discourse
7	that	PRON	9	nsubj
8	did	AUX	9	aux
9	occur	VERB	0	root
10	to	ADP	11	case
11	me	PRON	9	obl
12	:)	SYM	9	discourse
13	I	PRON	14	nsubj
14	hope	VERB	9	parataxis
15	that	PRON	17	nsubj
16	is	AUX	17	cop
17	all	DET	14	ccomp
18	he's	_	None	_
19	he	PRON	20	nsubj
20	's	AUX	20	aux
21	waiting	VERB	17	acl:relcl
22	for	ADP	20	obl
23	.	PUNCT	9	punct