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:
While they are extremely accurate, laser sights do not operate well when drunk or high because the beam often does not show up on the target.
Postion	Tokenization
1	While
2	they
3	are
4	extremely
5	accurate
6	,
7	laser
8	sights
9	do
10	not
11	operate
12	well
13	when
14	drunk
15	or
16	high
17	because
18	the
19	beam
20	often
21	does
22	not
23	show
24	up
25	on
26	the
27	target
28	.
Position	Tokenization	UPOS	Head	Deprel
1	While	SCONJ	5	mark
2	they	PRON	5	nsubj
3	are	AUX	5	cop
4	extremely	ADV	5	advmod
5	accurate	ADJ	11	advcl
6	,	PUNCT	11	punct
7	laser	NOUN	8	compound
8	sights	NOUN	11	nsubj
9	do	AUX	11	aux
10	not	PART	11	advmod
11	operate	VERB	0	root
12	well	ADV	11	advmod
13	when	SCONJ	14	mark
14	drunk	ADJ	11	advcl
15	or	CCONJ	16	cc
16	high	ADJ	14	conj
17	because	SCONJ	23	mark
18	the	DET	19	det
19	beam	NOUN	23	nsubj
20	often	ADV	23	advmod
21	does	AUX	23	aux
22	not	PART	23	advmod
23	show	VERB	11	advcl
24	up	ADP	23	compound:prt
25	on	ADP	27	case
26	the	DET	27	det
27	target	NOUN	23	obl
28	.	PUNCT	11	punct