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:
There should be a Pixel Mapping function in the menu that will get rid of them, most sensors have a few dead and flipped pixels, some only show up on long exposures.
Postion	Tokenization
1	There
2	should
3	be
4	a
5	Pixel
6	Mapping
7	function
8	in
9	the
10	menu
11	that
12	will
13	get
14	rid
15	of
16	them
17	,
18	most
19	sensors
20	have
21	a
22	few
23	dead
24	and
25	flipped
26	pixels
27	,
28	some
29	only
30	show
31	up
32	on
33	long
34	exposures
35	.
Position	Tokenization	UPOS	Head	Deprel
1	There	PRON	3	expl
2	should	AUX	3	aux
3	be	VERB	0	root
4	a	DET	7	det
5	Pixel	NOUN	6	compound
6	Mapping	NOUN	7	compound
7	function	NOUN	3	nsubj
8	in	ADP	10	case
9	the	DET	10	det
10	menu	NOUN	7	nmod
11	that	PRON	14	nsubj
12	will	AUX	14	aux
13	get	VERB	14	aux
14	rid	ADJ	7	acl:relcl
15	of	ADP	16	case
16	them	PRON	14	obl
17	,	PUNCT	7	punct
18	most	ADJ	19	amod
19	sensors	NOUN	20	nsubj
20	have	VERB	7	parataxis
21	a	DET	26	det
22	few	ADJ	26	amod
23	dead	ADJ	26	amod
24	and	CCONJ	25	cc
25	flipped	VERB	23	conj
26	pixels	NOUN	20	obj
27	,	PUNCT	7	punct
28	some	DET	30	nsubj
29	only	ADV	30	advmod
30	show	VERB	7	parataxis
31	up	ADP	30	compound:prt
32	on	ADP	34	case
33	long	ADJ	34	amod
34	exposures	NOUN	30	obl
35	.	PUNCT	7	punct