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 guess if you are someone not familiar with how NASA benefits our society I can see how one might form the opinion of yheggy-ga.
Postion	Tokenization
1	I
2	guess
3	if
4	you
5	are
6	someone
7	not
8	familiar
9	with
10	how
11	NASA
12	benefits
13	our
14	society
15	I
16	can
17	see
18	how
19	one
20	might
21	form
22	the
23	opinion
24	of
25	yheggy
26	-
27	ga
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	guess	VERB	0	root
3	if	SCONJ	6	mark
4	you	PRON	6	nsubj
5	are	AUX	6	cop
6	someone	PRON	17	advcl
7	not	ADV	8	advmod
8	familiar	ADJ	6	amod
9	with	SCONJ	12	mark
10	how	SCONJ	12	mark
11	NASA	PROPN	12	nsubj
12	benefits	VERB	8	advcl
13	our	PRON	14	nmod:poss
14	society	NOUN	12	obj
15	I	PRON	17	nsubj
16	can	AUX	17	aux
17	see	VERB	2	ccomp
18	how	SCONJ	21	mark
19	one	NUM	21	nsubj
20	might	AUX	21	aux
21	form	VERB	17	ccomp
22	the	DET	23	det
23	opinion	NOUN	21	obj
24	of	ADP	27	case
25	yheggy	PROPN	27	compound
26	-	PUNCT	27	punct
27	ga	PROPN	23	nmod
28	.	PUNCT	2	punct