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:
One has to wonder whether the bright fellows in our government and military who set up the deals with these people don't know what they are, don't care, or know perfectly well.
Postion	Tokenization
1	One
2	has
3	to
4	wonder
5	whether
6	the
7	bright
8	fellows
9	in
10	our
11	government
12	and
13	military
14	who
15	set
16	up
17	the
18	deals
19	with
20	these
21	people
22	don't
23	do
24	n't
25	know
26	what
27	they
28	are
29	,
30	don't
31	do
32	n't
33	care
34	,
35	or
36	know
37	perfectly
38	well
39	.
Position	Tokenization	UPOS	Head	Deprel
1	One	PRON	2	nsubj
2	has	VERB	0	root
3	to	PART	4	mark
4	wonder	VERB	2	xcomp
5	whether	SCONJ	24	mark
6	the	DET	8	det
7	bright	ADJ	8	amod
8	fellows	NOUN	24	nsubj
9	in	ADP	11	case
10	our	PRON	11	nmod:poss
11	government	NOUN	8	nmod
12	and	CCONJ	13	cc
13	military	NOUN	11	conj
14	who	PRON	15	nsubj
15	set	VERB	8	acl:relcl
16	up	ADP	15	compound:prt
17	the	DET	18	det
18	deals	NOUN	15	obj
19	with	ADP	21	case
20	these	DET	21	det
21	people	NOUN	18	nmod
22	don't	_	None	_
23	do	AUX	24	aux
24	n't	PART	24	advmod
25	know	VERB	4	ccomp
26	what	PRON	24	obj
27	they	PRON	25	nsubj
28	are	AUX	25	cop
29	,	PUNCT	31	punct
30	don't	_	None	_
31	do	AUX	31	aux
32	n't	PART	31	advmod
33	care	VERB	24	conj
34	,	PUNCT	34	punct
35	or	CCONJ	34	cc
36	know	VERB	24	conj
37	perfectly	ADV	36	advmod
38	well	ADV	34	advmod
39	.	PUNCT	2	punct