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 unsure of this, because once I watched a commercial of cat food with my cat and she didn't react to seeing another cat on TV.
Postion	Tokenization
1	I'm
2	I
3	'm
4	unsure
5	of
6	this
7	,
8	because
9	once
10	I
11	watched
12	a
13	commercial
14	of
15	cat
16	food
17	with
18	my
19	cat
20	and
21	she
22	didn't
23	did
24	n't
25	react
26	to
27	seeing
28	another
29	cat
30	on
31	TV
32	.
Position	Tokenization	UPOS	Head	Deprel
1	I'm	_	None	_
2	I	PRON	3	nsubj
3	'm	AUX	3	cop
4	unsure	ADJ	0	root
5	of	ADP	5	case
6	this	PRON	3	obl
7	,	PUNCT	3	punct
8	because	SCONJ	10	mark
9	once	ADV	10	advmod
10	I	PRON	10	nsubj
11	watched	VERB	3	advcl
12	a	DET	12	det
13	commercial	NOUN	10	obj
14	of	ADP	15	case
15	cat	NOUN	15	compound
16	food	NOUN	12	obl
17	with	ADP	18	case
18	my	PRON	18	nmod:poss
19	cat	NOUN	10	obl
20	and	CCONJ	23	cc
21	she	PRON	23	nsubj
22	didn't	_	None	_
23	did	AUX	23	aux
24	n't	PART	23	advmod
25	react	VERB	10	conj
26	to	SCONJ	25	mark
27	seeing	VERB	23	advcl
28	another	DET	27	det
29	cat	NOUN	25	obj
30	on	ADP	29	case
31	TV	NOUN	25	obl
32	.	PUNCT	3	punct