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:
(There initially was an outstanding $2 million reward -- under the rewards for justice program, the reward now is up to $5 million.).
Postion	Tokenization
1	(
2	There
3	initially
4	was
5	an
6	outstanding
7	$
8	2
9	million
10	reward
11	--
12	under
13	the
14	rewards
15	for
16	justice
17	program
18	,
19	the
20	reward
21	now
22	is
23	up
24	to
25	$
26	5
27	million
28	.
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	4	punct
2	There	PRON	4	expl
3	initially	ADV	4	advmod
4	was	VERB	0	root
5	an	DET	10	det
6	outstanding	ADJ	10	amod
7	$	SYM	10	compound
8	2	NUM	7	compound
9	million	NUM	7	compound
10	reward	NOUN	4	nsubj
11	--	PUNCT	4	punct
12	under	ADP	17	case
13	the	DET	17	det
14	rewards	NOUN	17	compound
15	for	ADP	16	case
16	justice	NOUN	14	nmod
17	program	NOUN	25	nmod
18	,	PUNCT	25	punct
19	the	DET	20	det
20	reward	NOUN	25	nsubj
21	now	ADV	25	advmod
22	is	AUX	25	cop
23	up	ADV	27	advmod
24	to	ADP	23	obl
25	$	SYM	4	parataxis
26	5	NUM	25	compound
27	million	NUM	25	compound
28	.	PUNCT	4	punct
29	)	PUNCT	4	punct
30	.	PUNCT	4	punct