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:
To a dog, watching T.V. is a lot like watching and old scratchy silent film because their flicker fusion seems to occur at a rate of 70 to 80Hz.
Postion	Tokenization
1	To
2	a
3	dog
4	,
5	watching
6	T.V.
7	is
8	a
9	lot
10	like
11	watching
12	and
13	old
14	scratchy
15	silent
16	film
17	because
18	their
19	flicker
20	fusion
21	seems
22	to
23	occur
24	at
25	a
26	rate
27	of
28	70
29	to
30	80
31	Hz
32	.
Position	Tokenization	UPOS	Head	Deprel
1	To	ADP	3	case
2	a	DET	3	det
3	dog	NOUN	11	obl
4	,	PUNCT	11	punct
5	watching	VERB	11	csubj
6	T.V.	NOUN	5	obj
7	is	AUX	11	cop
8	a	DET	9	det
9	lot	NOUN	11	obl:npmod
10	like	SCONJ	11	mark
11	watching	VERB	0	root
12	and	DET	16	det
13	old	ADJ	16	amod
14	scratchy	ADJ	16	amod
15	silent	ADJ	16	amod
16	film	NOUN	11	obj
17	because	SCONJ	21	mark
18	their	PRON	20	nmod:poss
19	flicker	NOUN	20	compound
20	fusion	NOUN	21	nsubj
21	seems	VERB	11	advcl
22	to	PART	23	mark
23	occur	VERB	21	xcomp
24	at	ADP	26	case
25	a	DET	26	det
26	rate	NOUN	23	obl
27	of	ADP	31	case
28	70	NUM	31	compound
29	to	ADP	30	case
30	80	NUM	28	nmod
31	Hz	NOUN	26	nmod
32	.	PUNCT	11	punct