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:
The staff and the Principal are rediculous, they don't listen to any input, and they make up rediculous rules ( They banned backpacks, because a teacher TRIPPED OVER a student's).
Postion	Tokenization
1	The
2	staff
3	and
4	the
5	Principal
6	are
7	rediculous
8	,
9	they
10	don't
11	do
12	n't
13	listen
14	to
15	any
16	input
17	,
18	and
19	they
20	make
21	up
22	rediculous
23	rules
24	(
25	They
26	banned
27	backpacks
28	,
29	because
30	a
31	teacher
32	TRIPPED
33	OVER
34	a
35	student
36	's
37	)
38	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	staff	NOUN	7	nsubj
3	and	CCONJ	5	cc
4	the	DET	5	det
5	Principal	NOUN	2	conj
6	are	AUX	7	cop
7	rediculous	ADJ	0	root
8	,	PUNCT	12	punct
9	they	PRON	12	nsubj
10	don't	_	None	_
11	do	AUX	12	aux
12	n't	PART	12	advmod
13	listen	VERB	7	conj
14	to	ADP	15	case
15	any	DET	15	det
16	input	NOUN	12	obl
17	,	PUNCT	19	punct
18	and	CCONJ	19	cc
19	they	PRON	19	nsubj
20	make	VERB	7	conj
21	up	ADP	19	compound:prt
22	rediculous	ADJ	22	amod
23	rules	NOUN	19	obj
24	(	PUNCT	25	punct
25	They	PRON	25	nsubj
26	banned	VERB	19	parataxis
27	backpacks	NOUN	25	obj
28	,	PUNCT	25	punct
29	because	SCONJ	31	mark
30	a	DET	30	det
31	teacher	NOUN	31	nsubj
32	TRIPPED	VERB	25	advcl
33	OVER	ADP	34	case
34	a	DET	34	det
35	student	NOUN	31	obl
36	's	PART	34	case
37	)	PUNCT	25	punct
38	.	PUNCT	7	punct