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:
You could move all the babies into a fry net breeder or move all of the bigger fish (also the parents) to a different tank to avoid the babies getting eaten.
Postion	Tokenization
1	You
2	could
3	move
4	all
5	the
6	babies
7	into
8	a
9	fry
10	net
11	breeder
12	or
13	move
14	all
15	of
16	the
17	bigger
18	fish
19	(
20	also
21	the
22	parents
23	)
24	to
25	a
26	different
27	tank
28	to
29	avoid
30	the
31	babies
32	getting
33	eaten
34	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	3	nsubj
2	could	AUX	3	aux
3	move	VERB	0	root
4	all	DET	6	det:predet
5	the	DET	6	det
6	babies	NOUN	3	obj
7	into	ADP	11	case
8	a	DET	11	det
9	fry	NOUN	10	compound
10	net	NOUN	11	compound
11	breeder	NOUN	3	obl
12	or	CCONJ	13	cc
13	move	VERB	3	conj
14	all	DET	13	obj
15	of	ADP	18	case
16	the	DET	18	det
17	bigger	ADJ	18	amod
18	fish	NOUN	14	nmod
19	(	PUNCT	18	punct
20	also	ADV	22	advmod
21	the	DET	22	det
22	parents	NOUN	18	appos
23	)	PUNCT	18	punct
24	to	ADP	27	case
25	a	DET	27	det
26	different	ADJ	27	amod
27	tank	NOUN	13	obl
28	to	PART	29	mark
29	avoid	VERB	13	advcl
30	the	DET	31	det
31	babies	NOUN	33	nsubj:pass
32	getting	AUX	33	aux:pass
33	eaten	VERB	29	ccomp
34	.	PUNCT	3	punct