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:
The pictures are broadcast at a rate of about 60Hz, which is how fast they need to move for us to see them as a moving, flawless picture.
Postion	Tokenization
1	The
2	pictures
3	are
4	broadcast
5	at
6	a
7	rate
8	of
9	about
10	60
11	Hz
12	,
13	which
14	is
15	how
16	fast
17	they
18	need
19	to
20	move
21	for
22	us
23	to
24	see
25	them
26	as
27	a
28	moving
29	,
30	flawless
31	picture
32	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	pictures	NOUN	4	nsubj:pass
3	are	AUX	4	aux:pass
4	broadcast	VERB	0	root
5	at	ADP	7	case
6	a	DET	7	det
7	rate	NOUN	4	obl
8	of	ADP	11	case
9	about	ADV	10	advmod
10	60	NUM	11	nummod
11	Hz	NOUN	7	nmod
12	,	PUNCT	11	punct
13	which	PRON	16	nsubj
14	is	AUX	16	cop
15	how	SCONJ	16	mark
16	fast	ADJ	11	acl:relcl
17	they	PRON	18	nsubj
18	need	VERB	16	acl:relcl
19	to	PART	20	mark
20	move	VERB	18	xcomp
21	for	SCONJ	24	mark
22	us	PRON	24	nsubj
23	to	PART	24	mark
24	see	VERB	20	advcl
25	them	PRON	24	obj
26	as	ADP	31	case
27	a	DET	31	det
28	moving	VERB	31	amod
29	,	PUNCT	31	punct
30	flawless	ADJ	31	amod
31	picture	NOUN	24	obl
32	.	PUNCT	4	punct