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:
Or, you can put the animal in a snap trap designed for rats or mice since that is the only really humane kill method for invasive animals.
Postion	Tokenization
1	Or
2	,
3	you
4	can
5	put
6	the
7	animal
8	in
9	a
10	snap
11	trap
12	designed
13	for
14	rats
15	or
16	mice
17	since
18	that
19	is
20	the
21	only
22	really
23	humane
24	kill
25	method
26	for
27	invasive
28	animals
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Or	INTJ	5	discourse
2	,	PUNCT	5	punct
3	you	PRON	5	nsubj
4	can	AUX	5	aux
5	put	VERB	0	root
6	the	DET	7	det
7	animal	NOUN	5	obj
8	in	ADP	11	case
9	a	DET	11	det
10	snap	NOUN	11	compound
11	trap	NOUN	5	obl
12	designed	VERB	11	acl
13	for	ADP	14	case
14	rats	NOUN	12	obl
15	or	CCONJ	16	cc
16	mice	NOUN	14	conj
17	since	SCONJ	25	mark
18	that	PRON	25	nsubj
19	is	AUX	25	cop
20	the	DET	25	det
21	only	ADJ	25	amod
22	really	ADV	23	advmod
23	humane	ADJ	25	amod
24	kill	NOUN	25	compound
25	method	NOUN	5	advcl
26	for	ADP	28	case
27	invasive	ADJ	28	amod
28	animals	NOUN	25	nmod
29	.	PUNCT	5	punct