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:
Wise decision to go through the private sector--NASA's budget may be kinda tight to fund a project like this.
Postion	Tokenization
1	Wise
2	decision
3	to
4	go
5	through
6	the
7	private
8	sector
9	--
10	NASA
11	's
12	budget
13	may
14	be
15	kinda
16	tight
17	to
18	fund
19	a
20	project
21	like
22	this
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Wise	ADJ	2	amod
2	decision	NOUN	0	root
3	to	PART	4	mark
4	go	VERB	2	acl
5	through	ADP	8	case
6	the	DET	8	det
7	private	ADJ	8	amod
8	sector	NOUN	4	obl
9	--	PUNCT	2	punct
10	NASA	PROPN	12	compound
11	's	PART	12	case
12	budget	NOUN	16	nsubj
13	may	AUX	16	aux
14	be	AUX	16	cop
15	kinda	ADV	16	advmod
16	tight	ADJ	2	parataxis
17	to	PART	18	mark
18	fund	VERB	16	advcl
19	a	DET	20	det
20	project	NOUN	18	obj
21	like	ADP	22	case
22	this	PRON	20	nmod
23	.	PUNCT	2	punct