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 read of a case not long ago when some people were trying to get a polygamous judge taken off the bench for not obeying state law.
Postion	Tokenization
1	I
2	read
3	of
4	a
5	case
6	not
7	long
8	ago
9	when
10	some
11	people
12	were
13	trying
14	to
15	get
16	a
17	polygamous
18	judge
19	taken
20	off
21	the
22	bench
23	for
24	not
25	obeying
26	state
27	law
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	read	VERB	0	root
3	of	ADP	5	case
4	a	DET	5	det
5	case	NOUN	2	obl
6	not	PART	7	advmod
7	long	ADV	2	advmod
8	ago	ADV	7	advmod
9	when	SCONJ	13	mark
10	some	DET	11	det
11	people	NOUN	13	nsubj
12	were	AUX	13	aux
13	trying	VERB	2	advcl
14	to	PART	15	mark
15	get	VERB	13	xcomp
16	a	DET	18	det
17	polygamous	ADJ	18	amod
18	judge	NOUN	15	obj
19	taken	VERB	15	xcomp
20	off	ADP	22	case
21	the	DET	22	det
22	bench	NOUN	19	obl
23	for	SCONJ	25	mark
24	not	ADV	25	advmod
25	obeying	VERB	19	advcl
26	state	NOUN	27	compound
27	law	NOUN	25	obj
28	.	PUNCT	2	punct