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:
I'm assuming it's to scare off predators / like how they will puff up their neck spikes to make them look bigger to predators or enemies.
Postion	Tokenization
1	I'm
2	I
3	'm
4	assuming
5	it's
6	it
7	's
8	to
9	scare
10	off
11	predators
12	/
13	like
14	how
15	they
16	will
17	puff
18	up
19	their
20	neck
21	spikes
22	to
23	make
24	them
25	look
26	bigger
27	to
28	predators
29	or
30	enemies
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I'm	_	None	_
2	I	PRON	3	nsubj
3	'm	AUX	3	aux
4	assuming	VERB	0	root
5	it's	_	None	_
6	it	PRON	5	nsubj
7	's	VERB	3	ccomp
8	to	PART	7	mark
9	scare	VERB	5	ccomp
10	off	ADP	7	compound:prt
11	predators	NOUN	7	obj
12	/	PUNCT	7	punct
13	like	SCONJ	15	mark
14	how	SCONJ	15	mark
15	they	PRON	15	nsubj
16	will	AUX	15	aux
17	puff	VERB	7	advcl
18	up	ADP	15	compound:prt
19	their	PRON	19	nmod:poss
20	neck	NOUN	19	compound
21	spikes	NOUN	15	obj
22	to	PART	21	mark
23	make	VERB	15	advcl
24	them	PRON	21	obj
25	look	VERB	21	xcomp
26	bigger	ADJ	23	xcomp
27	to	ADP	26	case
28	predators	NOUN	23	obl
29	or	CCONJ	28	cc
30	enemies	NOUN	26	conj
31	.	PUNCT	3	punct