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:
Also, Beardies often do not eat food that is not moving, so its anyone's guess whether or not he'll touch the freeze-dried crickets or the processed food.
Postion	Tokenization
1	Also
2	,
3	Beardies
4	often
5	do
6	not
7	eat
8	food
9	that
10	is
11	not
12	moving
13	,
14	so
15	its
16	it
17	s
18	anyone's
19	anyone
20	's
21	guess
22	whether
23	or
24	not
25	he'll
26	he
27	'll
28	touch
29	the
30	freeze
31	-
32	dried
33	crickets
34	or
35	the
36	processed
37	food
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Also	ADV	7	advmod
2	,	PUNCT	7	punct
3	Beardies	PROPN	7	nsubj
4	often	ADV	7	advmod
5	do	AUX	7	aux
6	not	PART	7	advmod
7	eat	VERB	0	root
8	food	NOUN	7	obj
9	that	PRON	12	nsubj
10	is	AUX	12	aux
11	not	PART	12	advmod
12	moving	VERB	8	acl:relcl
13	,	PUNCT	16	punct
14	so	ADV	19	advmod
15	its	_	None	_
16	it	PRON	16	expl
17	s	VERB	7	conj
18	anyone's	_	None	_
19	anyone	PRON	19	nmod:poss
20	's	PART	17	case
21	guess	NOUN	16	nsubj
22	whether	SCONJ	25	mark
23	or	CCONJ	20	fixed
24	not	ADV	20	fixed
25	he'll	_	None	_
26	he	PRON	25	nsubj
27	'll	AUX	25	aux
28	touch	VERB	16	csubj
29	the	DET	30	det
30	freeze	VERB	29	compound
31	-	PUNCT	29	punct
32	dried	VERB	30	amod
33	crickets	NOUN	25	obj
34	or	CCONJ	34	cc
35	the	DET	34	det
36	processed	VERB	34	amod
37	food	NOUN	30	conj
38	.	PUNCT	7	punct