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:
Neighborhood Reinvestment Corporation (NRC): is funded at $115 million, the same as FY04 and the budget request."
Postion	Tokenization
1	Neighborhood
2	Reinvestment
3	Corporation
4	(
5	NRC
6	)
7	:
8	is
9	funded
10	at
11	$
12	115
13	million
14	,
15	the
16	same
17	as
18	FY04
19	and
20	the
21	budget
22	request
23	.
24	"
Position	Tokenization	UPOS	Head	Deprel
1	Neighborhood	PROPN	2	compound
2	Reinvestment	PROPN	3	compound
3	Corporation	PROPN	9	nsubj:pass
4	(	PUNCT	5	punct
5	NRC	PROPN	3	appos
6	)	PUNCT	5	punct
7	:	PUNCT	9	punct
8	is	AUX	9	aux:pass
9	funded	VERB	0	root
10	at	ADP	11	case
11	$	SYM	9	obl
12	115	NUM	13	compound
13	million	NUM	11	nummod
14	,	PUNCT	11	punct
15	the	DET	16	det
16	same	ADJ	11	appos
17	as	ADP	18	case
18	FY04	NOUN	16	obl
19	and	CCONJ	22	cc
20	the	DET	22	det
21	budget	NOUN	22	compound
22	request	NOUN	18	conj
23	.	PUNCT	9	punct
24	"	PUNCT	9	punct