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:
There's plenty of parking, and I've never had an issue with audience members who won't stop talking or answering their cellphones.
Postion	Tokenization
1	There's
2	There
3	's
4	plenty
5	of
6	parking
7	,
8	and
9	I've
10	I
11	've
12	never
13	had
14	an
15	issue
16	with
17	audience
18	members
19	who
20	won't
21	wo
22	n't
23	stop
24	talking
25	or
26	answering
27	their
28	cellphones
29	.
Position	Tokenization	UPOS	Head	Deprel
1	There's	_	None	_
2	There	PRON	2	expl
3	's	VERB	0	root
4	plenty	NOUN	2	nsubj
5	of	ADP	5	case
6	parking	NOUN	3	nmod
7	,	PUNCT	11	punct
8	and	CCONJ	11	cc
9	I've	_	None	_
10	I	PRON	11	nsubj
11	've	AUX	11	aux
12	never	ADV	11	advmod
13	had	VERB	2	conj
14	an	DET	13	det
15	issue	NOUN	11	obj
16	with	ADP	16	case
17	audience	NOUN	16	compound
18	members	NOUN	13	nmod
19	who	PRON	20	nsubj
20	won't	_	None	_
21	wo	AUX	20	aux
22	n't	PART	20	advmod
23	stop	VERB	16	acl:relcl
24	talking	VERB	20	xcomp
25	or	CCONJ	23	cc
26	answering	VERB	21	conj
27	their	PRON	25	nmod:poss
28	cellphones	NOUN	23	obj
29	.	PUNCT	2	punct