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 understand all of those comparisons, however, the reality is if we lose Dean (which we will if we don't pay 65k + 10k), we will end up hiring a replacement at 75-80k.
Postion	Tokenization
1	I
2	understand
3	all
4	of
5	those
6	comparisons
7	,
8	however
9	,
10	the
11	reality
12	is
13	if
14	we
15	lose
16	Dean
17	(
18	which
19	we
20	will
21	if
22	we
23	don't
24	do
25	n't
26	pay
27	65
28	k
29	+
30	10
31	k
32	)
33	,
34	we
35	will
36	end
37	up
38	hiring
39	a
40	replacement
41	at
42	75
43	-
44	80
45	k
46	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	understand	VERB	0	root
3	all	DET	2	obj
4	of	ADP	6	case
5	those	DET	6	det
6	comparisons	NOUN	3	nmod
7	,	PUNCT	2	punct
8	however	ADV	12	advmod
9	,	PUNCT	12	punct
10	the	DET	11	det
11	reality	NOUN	12	nsubj
12	is	VERB	2	ccomp
13	if	SCONJ	15	mark
14	we	PRON	15	nsubj
15	lose	VERB	35	advcl
16	Dean	PROPN	15	obj
17	(	PUNCT	25	punct
18	which	PRON	15	parataxis
19	we	PRON	18	nsubj
20	will	AUX	18	aux
21	if	SCONJ	25	mark
22	we	PRON	25	nsubj
23	don't	_	None	_
24	do	AUX	25	aux
25	n't	PART	25	advmod
26	pay	VERB	18	advcl
27	65	NUM	27	compound
28	k	NUM	30	compound
29	+	SYM	30	advmod
30	10	NUM	30	compound
31	k	NUM	25	obj
32	)	PUNCT	25	punct
33	,	PUNCT	35	punct
34	we	PRON	35	nsubj
35	will	AUX	35	aux
36	end	VERB	12	ccomp
37	up	ADP	35	compound:prt
38	hiring	VERB	35	xcomp
39	a	DET	39	det
40	replacement	NOUN	37	obj
41	at	ADP	44	case
42	75	NUM	44	compound
43	-	SYM	43	case
44	80	NUM	41	nmod
45	k	NOUN	37	obl
46	.	PUNCT	2	punct