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:
He was three months late in filing a name for the business, and he threatened to call his company Apple Computers if the other colleagues didn't suggest a better name by 5 O'clock.
Postion	Tokenization
1	He
2	was
3	three
4	months
5	late
6	in
7	filing
8	a
9	name
10	for
11	the
12	business
13	,
14	and
15	he
16	threatened
17	to
18	call
19	his
20	company
21	Apple
22	Computers
23	if
24	the
25	other
26	colleagues
27	didn't
28	did
29	n't
30	suggest
31	a
32	better
33	name
34	by
35	5
36	O'clock
37	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	5	nsubj
2	was	AUX	5	cop
3	three	NUM	4	nummod
4	months	NOUN	5	obl:tmod
5	late	ADJ	0	root
6	in	SCONJ	7	mark
7	filing	VERB	5	advcl
8	a	DET	9	det
9	name	NOUN	7	obj
10	for	ADP	12	case
11	the	DET	12	det
12	business	NOUN	9	nmod
13	,	PUNCT	16	punct
14	and	CCONJ	16	cc
15	he	PRON	16	nsubj
16	threatened	VERB	5	conj
17	to	PART	18	mark
18	call	VERB	16	xcomp
19	his	PRON	20	nmod:poss
20	company	NOUN	18	obj
21	Apple	PROPN	22	compound
22	Computers	PROPN	18	xcomp
23	if	SCONJ	29	mark
24	the	DET	26	det
25	other	ADJ	26	amod
26	colleagues	NOUN	29	nsubj
27	didn't	_	None	_
28	did	AUX	29	aux
29	n't	PART	29	advmod
30	suggest	VERB	18	advcl
31	a	DET	32	det
32	better	ADJ	32	amod
33	name	NOUN	29	obj
34	by	ADP	35	case
35	5	NUM	35	nummod
36	O'clock	NOUN	29	obl
37	.	PUNCT	5	punct