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:
It sounds like a firmware issue and the camera requires a re-boot just like what happens in a computer - needs a re-start from time to time but it shouldn't be happening in a camera.
Postion	Tokenization
1	It
2	sounds
3	like
4	a
5	firmware
6	issue
7	and
8	the
9	camera
10	requires
11	a
12	re-boot
13	just
14	like
15	what
16	happens
17	in
18	a
19	computer
20	-
21	needs
22	a
23	re-start
24	from
25	time
26	to
27	time
28	but
29	it
30	shouldn't
31	should
32	n't
33	be
34	happening
35	in
36	a
37	camera
38	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	2	nsubj
2	sounds	VERB	0	root
3	like	ADP	6	case
4	a	DET	6	det
5	firmware	NOUN	6	compound
6	issue	NOUN	2	obl
7	and	CCONJ	10	cc
8	the	DET	9	det
9	camera	NOUN	10	nsubj
10	requires	VERB	2	conj
11	a	DET	12	det
12	re-boot	NOUN	10	obj
13	just	ADV	15	advmod
14	like	SCONJ	15	case
15	what	PRON	10	obl
16	happens	VERB	15	acl:relcl
17	in	ADP	19	case
18	a	DET	19	det
19	computer	NOUN	16	obl
20	-	PUNCT	2	punct
21	needs	VERB	2	conj
22	a	DET	23	det
23	re-start	NOUN	21	obj
24	from	ADP	25	case
25	time	NOUN	21	obl
26	to	ADP	27	case
27	time	NOUN	25	nmod
28	but	CCONJ	33	cc
29	it	PRON	33	nsubj
30	shouldn't	_	None	_
31	should	AUX	33	aux
32	n't	PART	33	advmod
33	be	AUX	33	aux
34	happening	VERB	2	conj
35	in	ADP	36	case
36	a	DET	36	det
37	camera	NOUN	33	obl
38	.	PUNCT	2	punct