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:
he is feisty, as most king snakes are, but he is a very nice little guy - he never tries to bite or anything.
Postion	Tokenization
1	he
2	is
3	feisty
4	,
5	as
6	most
7	king
8	snakes
9	are
10	,
11	but
12	he
13	is
14	a
15	very
16	nice
17	little
18	guy
19	-
20	he
21	never
22	tries
23	to
24	bite
25	or
26	anything
27	.
Position	Tokenization	UPOS	Head	Deprel
1	he	PRON	3	nsubj
2	is	AUX	3	cop
3	feisty	ADJ	0	root
4	,	PUNCT	3	punct
5	as	SCONJ	9	mark
6	most	ADJ	8	amod
7	king	NOUN	8	compound
8	snakes	NOUN	9	nsubj
9	are	VERB	3	advcl
10	,	PUNCT	18	punct
11	but	CCONJ	18	cc
12	he	PRON	18	nsubj
13	is	AUX	18	cop
14	a	DET	18	det
15	very	ADV	16	advmod
16	nice	ADJ	18	amod
17	little	ADJ	18	amod
18	guy	NOUN	3	conj
19	-	PUNCT	18	punct
20	he	PRON	22	nsubj
21	never	ADV	22	advmod
22	tries	VERB	18	parataxis
23	to	PART	24	mark
24	bite	VERB	22	xcomp
25	or	CCONJ	26	cc
26	anything	PRON	24	conj
27	.	PUNCT	3	punct