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:
Given the short notice, we will politely decline to participate at the hearing on Monday, but will let the good Senator know that, in general, we intend to engage actively in the process and plan to help California find a solution that works for everybody.
Postion	Tokenization
1	Given
2	the
3	short
4	notice
5	,
6	we
7	will
8	politely
9	decline
10	to
11	participate
12	at
13	the
14	hearing
15	on
16	Monday
17	,
18	but
19	will
20	let
21	the
22	good
23	Senator
24	know
25	that
26	,
27	in
28	general
29	,
30	we
31	intend
32	to
33	engage
34	actively
35	in
36	the
37	process
38	and
39	plan
40	to
41	help
42	California
43	find
44	a
45	solution
46	that
47	works
48	for
49	everybody
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Given	VERB	4	case
2	the	DET	4	det
3	short	ADJ	4	amod
4	notice	NOUN	9	obl
5	,	PUNCT	9	punct
6	we	PRON	9	nsubj
7	will	AUX	9	aux
8	politely	ADV	9	advmod
9	decline	VERB	0	root
10	to	PART	11	mark
11	participate	VERB	9	xcomp
12	at	ADP	14	case
13	the	DET	14	det
14	hearing	NOUN	11	obl
15	on	ADP	16	case
16	Monday	PROPN	11	obl
17	,	PUNCT	20	punct
18	but	CCONJ	20	cc
19	will	AUX	20	aux
20	let	VERB	9	conj
21	the	DET	23	det
22	good	ADJ	23	amod
23	Senator	NOUN	20	obj
24	know	VERB	20	xcomp
25	that	SCONJ	31	mark
26	,	PUNCT	31	punct
27	in	ADP	28	case
28	general	ADJ	31	obl
29	,	PUNCT	31	punct
30	we	PRON	31	nsubj
31	intend	VERB	24	ccomp
32	to	PART	33	mark
33	engage	VERB	31	xcomp
34	actively	ADV	33	advmod
35	in	ADP	37	case
36	the	DET	37	det
37	process	NOUN	33	obl
38	and	CCONJ	39	cc
39	plan	VERB	31	conj
40	to	PART	41	mark
41	help	VERB	39	xcomp
42	California	PROPN	41	obj
43	find	VERB	41	xcomp
44	a	DET	45	det
45	solution	NOUN	43	obj
46	that	PRON	47	nsubj
47	works	VERB	45	acl:relcl
48	for	ADP	49	case
49	everybody	PRON	47	obl
50	.	PUNCT	9	punct