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 don't know if the kid had a bad day or what, but I had to sit and apologize about nothing for 10 minutes until he dropped the issue.
Postion	Tokenization
1	I
2	don't
3	do
4	n't
5	know
6	if
7	the
8	kid
9	had
10	a
11	bad
12	day
13	or
14	what
15	,
16	but
17	I
18	had
19	to
20	sit
21	and
22	apologize
23	about
24	nothing
25	for
26	10
27	minutes
28	until
29	he
30	dropped
31	the
32	issue
33	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	don't	_	None	_
3	do	AUX	4	aux
4	n't	PART	4	advmod
5	know	VERB	0	root
6	if	SCONJ	8	mark
7	the	DET	7	det
8	kid	NOUN	8	nsubj
9	had	VERB	4	advcl
10	a	DET	11	det
11	bad	ADJ	11	amod
12	day	NOUN	8	obl:tmod
13	or	CCONJ	13	cc
14	what	PRON	8	conj
15	,	PUNCT	17	punct
16	but	CCONJ	17	cc
17	I	PRON	17	nsubj
18	had	VERB	4	conj
19	to	PART	19	mark
20	sit	VERB	17	xcomp
21	and	CCONJ	21	cc
22	apologize	VERB	19	conj
23	about	ADP	23	case
24	nothing	PRON	21	obl
25	for	ADP	26	case
26	10	NUM	26	nummod
27	minutes	NOUN	21	obl
28	until	SCONJ	29	mark
29	he	PRON	29	nsubj
30	dropped	VERB	21	advcl
31	the	DET	31	det
32	issue	NOUN	29	obj
33	.	PUNCT	4	punct