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:
Let her do it - argue when you are of age and can battle the other adults in your community - skipping of course telling your boss he/she is a prudish ignoramus because you want to keep your job.
Postion	Tokenization
1	Let
2	her
3	do
4	it
5	-
6	argue
7	when
8	you
9	are
10	of
11	age
12	and
13	can
14	battle
15	the
16	other
17	adults
18	in
19	your
20	community
21	-
22	skipping
23	of
24	course
25	telling
26	your
27	boss
28	he
29	/
30	she
31	is
32	a
33	prudish
34	ignoramus
35	because
36	you
37	want
38	to
39	keep
40	your
41	job
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Let	VERB	0	root
2	her	PRON	1	obj
3	do	VERB	1	xcomp
4	it	PRON	3	obj
5	-	PUNCT	1	punct
6	argue	VERB	1	parataxis
7	when	SCONJ	11	mark
8	you	PRON	11	nsubj
9	are	AUX	11	cop
10	of	ADP	11	case
11	age	NOUN	6	advcl
12	and	CCONJ	14	cc
13	can	AUX	14	aux
14	battle	VERB	11	conj
15	the	DET	17	det
16	other	ADJ	17	amod
17	adults	NOUN	14	obj
18	in	ADP	20	case
19	your	PRON	20	nmod:poss
20	community	NOUN	17	nmod
21	-	PUNCT	14	punct
22	skipping	VERB	14	advcl
23	of	ADV	22	advmod
24	course	ADV	23	fixed
25	telling	VERB	22	xcomp
26	your	PRON	27	nmod:poss
27	boss	NOUN	25	iobj
28	he	PRON	34	nsubj
29	/	PUNCT	30	cc
30	she	PRON	28	conj
31	is	AUX	34	cop
32	a	DET	34	det
33	prudish	ADJ	34	amod
34	ignoramus	NOUN	25	ccomp
35	because	SCONJ	37	mark
36	you	PRON	37	nsubj
37	want	VERB	22	advcl
38	to	PART	39	mark
39	keep	VERB	37	xcomp
40	your	PRON	41	nmod:poss
41	job	NOUN	39	obj
42	.	PUNCT	1	punct