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:
Just my opinion here - no judgement - getting your snake on frozen/thawed will prove to be much easier for you and safer for your snake in the long run.
Postion	Tokenization
1	Just
2	my
3	opinion
4	here
5	-
6	no
7	judgement
8	-
9	getting
10	your
11	snake
12	on
13	frozen
14	/
15	thawed
16	will
17	prove
18	to
19	be
20	much
21	easier
22	for
23	you
24	and
25	safer
26	for
27	your
28	snake
29	in
30	the
31	long
32	run
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Just	ADV	3	advmod
2	my	PRON	3	nmod:poss
3	opinion	NOUN	0	root
4	here	ADV	3	advmod
5	-	PUNCT	3	punct
6	no	DET	7	det
7	judgement	NOUN	3	parataxis
8	-	PUNCT	3	punct
9	getting	VERB	17	csubj
10	your	PRON	11	nmod:poss
11	snake	NOUN	9	obj
12	on	ADP	13	mark
13	frozen	VERB	9	advcl
14	/	PUNCT	13	punct
15	thawed	VERB	13	amod
16	will	AUX	17	aux
17	prove	VERB	3	parataxis
18	to	PART	21	mark
19	be	AUX	21	cop
20	much	ADV	21	advmod
21	easier	ADJ	17	xcomp
22	for	ADP	23	case
23	you	PRON	21	obl
24	and	CCONJ	25	cc
25	safer	ADJ	21	conj
26	for	ADP	28	case
27	your	PRON	28	nmod:poss
28	snake	NOUN	25	obl
29	in	ADP	32	case
30	the	DET	32	det
31	long	ADJ	32	amod
32	run	NOUN	21	obl
33	.	PUNCT	3	punct