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:
i also think the National Endowment for the Arts is a waste, but i guess i would rather see my money go to the NEA than NASA.
Postion	Tokenization
1	i
2	also
3	think
4	the
5	National
6	Endowment
7	for
8	the
9	Arts
10	is
11	a
12	waste
13	,
14	but
15	i
16	guess
17	i
18	would
19	rather
20	see
21	my
22	money
23	go
24	to
25	the
26	NEA
27	than
28	NASA
29	.
Position	Tokenization	UPOS	Head	Deprel
1	i	PRON	3	nsubj
2	also	ADV	3	advmod
3	think	VERB	0	root
4	the	DET	6	det
5	National	PROPN	6	compound
6	Endowment	PROPN	12	nsubj
7	for	ADP	9	case
8	the	DET	9	det
9	Arts	PROPN	6	nmod
10	is	AUX	12	cop
11	a	DET	12	det
12	waste	NOUN	3	ccomp
13	,	PUNCT	16	punct
14	but	CCONJ	16	cc
15	i	PRON	16	nsubj
16	guess	VERB	3	conj
17	i	PRON	20	nsubj
18	would	AUX	20	aux
19	rather	ADV	20	advmod
20	see	VERB	16	ccomp
21	my	PRON	22	nmod:poss
22	money	NOUN	23	nsubj
23	go	VERB	20	ccomp
24	to	ADP	26	case
25	the	DET	26	det
26	NEA	PROPN	23	obl
27	than	ADP	28	case
28	NASA	PROPN	23	obl
29	.	PUNCT	3	punct