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:
The committee voted to give NASA $16.4 billion in 2005, about $200 million more than what the President requested and over $1 billion more than what House appropriators approved in July."
Postion	Tokenization
1	The
2	committee
3	voted
4	to
5	give
6	NASA
7	$
8	16.4
9	billion
10	in
11	2005
12	,
13	about
14	$
15	200
16	million
17	more
18	than
19	what
20	the
21	President
22	requested
23	and
24	over
25	$
26	1
27	billion
28	more
29	than
30	what
31	House
32	appropriators
33	approved
34	in
35	July
36	.
37	"
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	committee	NOUN	3	nsubj
3	voted	VERB	0	root
4	to	PART	5	mark
5	give	VERB	3	advcl
6	NASA	PROPN	5	iobj
7	$	SYM	5	obj
8	16.4	NUM	9	compound
9	billion	NUM	7	nummod
10	in	ADP	11	case
11	2005	NUM	5	obl
12	,	PUNCT	5	punct
13	about	ADV	14	advmod
14	$	SYM	17	obl:npmod
15	200	NUM	16	compound
16	million	NUM	14	nummod
17	more	ADJ	5	obj
18	than	ADP	19	case
19	what	PRON	17	obl
20	the	DET	21	det
21	President	PROPN	22	nsubj
22	requested	VERB	19	acl:relcl
23	and	CCONJ	28	cc
24	over	ADV	25	advmod
25	$	SYM	28	obl:npmod
26	1	NUM	27	compound
27	billion	NUM	25	nummod
28	more	ADJ	17	conj
29	than	ADP	30	case
30	what	PRON	28	obl
31	House	PROPN	32	compound
32	appropriators	NOUN	33	nsubj
33	approved	VERB	30	acl:relcl
34	in	ADP	35	case
35	July	PROPN	33	obl
36	.	PUNCT	3	punct
37	"	PUNCT	3	punct