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:
My take is that the UDCs will be indifferent to this (maybe?) and our #1 priority is to work to get the PG&E model adopted across the state.
Postion	Tokenization
1	My
2	take
3	is
4	that
5	the
6	UDCs
7	will
8	be
9	indifferent
10	to
11	this
12	(
13	maybe
14	?
15	)
16	and
17	our
18	#
19	1
20	priority
21	is
22	to
23	work
24	to
25	get
26	the
27	PG&E
28	model
29	adopted
30	across
31	the
32	state
33	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	2	nmod:poss
2	take	NOUN	3	nsubj
3	is	VERB	0	root
4	that	SCONJ	9	mark
5	the	DET	6	det
6	UDCs	NOUN	9	nsubj
7	will	AUX	9	aux
8	be	AUX	9	cop
9	indifferent	ADJ	3	ccomp
10	to	ADP	11	case
11	this	PRON	9	obl
12	(	PUNCT	9	punct
13	maybe	ADV	9	advmod
14	?	PUNCT	13	punct
15	)	PUNCT	9	punct
16	and	CCONJ	21	cc
17	our	PRON	20	nmod:poss
18	#	SYM	20	compound
19	1	NUM	18	nummod
20	priority	NOUN	21	nsubj
21	is	VERB	3	conj
22	to	PART	23	mark
23	work	VERB	21	ccomp
24	to	PART	25	mark
25	get	VERB	23	advcl
26	the	DET	28	det
27	PG&E	PROPN	28	compound
28	model	NOUN	25	obj
29	adopted	VERB	25	xcomp
30	across	ADP	32	case
31	the	DET	32	det
32	state	NOUN	29	obl
33	.	PUNCT	3	punct