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:
An art teacher in the mid-cities area of Dallas/Ft.Worth metro got fired because she took an art class on an approved field trip with parental permission for each student and some hysterical parent discovered that they saw "nudes" in the museum.
Postion	Tokenization
1	An
2	art
3	teacher
4	in
5	the
6	mid-cities
7	area
8	of
9	Dallas
10	/
11	Ft.
12	Worth
13	metro
14	got
15	fired
16	because
17	she
18	took
19	an
20	art
21	class
22	on
23	an
24	approved
25	field
26	trip
27	with
28	parental
29	permission
30	for
31	each
32	student
33	and
34	some
35	hysterical
36	parent
37	discovered
38	that
39	they
40	saw
41	"
42	nudes
43	"
44	in
45	the
46	museum
47	.
Position	Tokenization	UPOS	Head	Deprel
1	An	DET	3	det
2	art	NOUN	3	compound
3	teacher	NOUN	15	nsubj:pass
4	in	ADP	7	case
5	the	DET	7	det
6	mid-cities	NOUN	7	compound
7	area	NOUN	3	nmod
8	of	ADP	13	case
9	Dallas	PROPN	13	compound
10	/	PUNCT	12	cc
11	Ft.	PROPN	12	compound
12	Worth	PROPN	9	conj
13	metro	NOUN	7	nmod
14	got	AUX	15	aux:pass
15	fired	VERB	0	root
16	because	SCONJ	18	mark
17	she	PRON	18	nsubj
18	took	VERB	15	advcl
19	an	DET	21	det
20	art	NOUN	21	compound
21	class	NOUN	18	obj
22	on	ADP	26	case
23	an	DET	26	det
24	approved	VERB	26	amod
25	field	NOUN	26	compound
26	trip	NOUN	18	obl
27	with	ADP	29	case
28	parental	ADJ	29	amod
29	permission	NOUN	26	nmod
30	for	ADP	32	case
31	each	DET	32	det
32	student	NOUN	29	nmod
33	and	CCONJ	37	cc
34	some	DET	36	det
35	hysterical	ADJ	36	amod
36	parent	NOUN	37	nsubj
37	discovered	VERB	15	conj
38	that	SCONJ	40	mark
39	they	PRON	40	nsubj
40	saw	VERB	37	ccomp
41	"	PUNCT	42	punct
42	nudes	NOUN	40	obj
43	"	PUNCT	42	punct
44	in	ADP	46	case
45	the	DET	46	det
46	museum	NOUN	40	obl
47	.	PUNCT	15	punct