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:
Bearded dragons are sight hunters, they need to see the food move to trigger a feeding response, especially when they are babies.
Postion	Tokenization
1	Bearded
2	dragons
3	are
4	sight
5	hunters
6	,
7	they
8	need
9	to
10	see
11	the
12	food
13	move
14	to
15	trigger
16	a
17	feeding
18	response
19	,
20	especially
21	when
22	they
23	are
24	babies
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Bearded	ADJ	2	amod
2	dragons	NOUN	5	nsubj
3	are	AUX	5	cop
4	sight	ADJ	5	amod
5	hunters	NOUN	0	root
6	,	PUNCT	5	punct
7	they	PRON	8	nsubj
8	need	VERB	5	parataxis
9	to	PART	10	mark
10	see	VERB	8	xcomp
11	the	DET	12	det
12	food	NOUN	13	nsubj
13	move	VERB	10	ccomp
14	to	PART	15	mark
15	trigger	VERB	10	advcl
16	a	DET	18	det
17	feeding	VERB	18	amod
18	response	NOUN	15	obj
19	,	PUNCT	10	punct
20	especially	ADV	24	advmod
21	when	SCONJ	24	mark
22	they	PRON	24	nsubj
23	are	AUX	24	cop
24	babies	NOUN	10	advcl
25	.	PUNCT	5	punct