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:
Please know that I have yet to meet a convict who wants their child to be a thief, an addict, a dealer, a prostitute, or a violent individual.
Postion	Tokenization
1	Please
2	know
3	that
4	I
5	have
6	yet
7	to
8	meet
9	a
10	convict
11	who
12	wants
13	their
14	child
15	to
16	be
17	a
18	thief
19	,
20	an
21	addict
22	,
23	a
24	dealer
25	,
26	a
27	prostitute
28	,
29	or
30	a
31	violent
32	individual
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Please	INTJ	2	discourse
2	know	VERB	0	root
3	that	SCONJ	5	mark
4	I	PRON	5	nsubj
5	have	VERB	2	ccomp
6	yet	ADV	5	advmod
7	to	PART	8	mark
8	meet	VERB	5	xcomp
9	a	DET	10	det
10	convict	NOUN	8	obj
11	who	PRON	12	nsubj
12	wants	VERB	10	acl:relcl
13	their	PRON	14	nmod:poss
14	child	NOUN	12	obj
15	to	PART	18	mark
16	be	AUX	18	cop
17	a	DET	18	det
18	thief	NOUN	12	xcomp
19	,	PUNCT	21	punct
20	an	DET	21	det
21	addict	NOUN	18	conj
22	,	PUNCT	24	punct
23	a	DET	24	det
24	dealer	NOUN	18	conj
25	,	PUNCT	27	punct
26	a	DET	27	det
27	prostitute	NOUN	18	conj
28	,	PUNCT	32	punct
29	or	CCONJ	32	cc
30	a	DET	32	det
31	violent	ADJ	32	amod
32	individual	NOUN	18	conj
33	.	PUNCT	2	punct