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:
So, to answer your question, no, if you just have a bulb that says it produces UVA then you do not have "the sun's rays" that your bearded needs.
Postion	Tokenization
1	So
2	,
3	to
4	answer
5	your
6	question
7	,
8	no
9	,
10	if
11	you
12	just
13	have
14	a
15	bulb
16	that
17	says
18	it
19	produces
20	UVA
21	then
22	you
23	do
24	not
25	have
26	"
27	the
28	sun's
29	sun
30	's
31	rays
32	"
33	that
34	your
35	bearded
36	needs
37	.
Position	Tokenization	UPOS	Head	Deprel
1	So	ADV	25	advmod
2	,	PUNCT	25	punct
3	to	PART	4	mark
4	answer	VERB	25	advcl
5	your	PRON	6	nmod:poss
6	question	NOUN	4	obj
7	,	PUNCT	25	punct
8	no	INTJ	25	discourse
9	,	PUNCT	25	punct
10	if	SCONJ	13	mark
11	you	PRON	13	nsubj
12	just	ADV	13	advmod
13	have	VERB	25	advcl
14	a	DET	15	det
15	bulb	NOUN	13	obj
16	that	PRON	17	nsubj
17	says	VERB	15	acl:relcl
18	it	PRON	19	nsubj
19	produces	VERB	17	ccomp
20	UVA	PROPN	19	obj
21	then	ADV	25	advmod
22	you	PRON	25	nsubj
23	do	AUX	25	aux
24	not	PART	25	advmod
25	have	VERB	0	root
26	"	PUNCT	25	punct
27	the	DET	28	det
28	sun's	_	None	_
29	sun	NOUN	30	nmod:poss
30	's	PART	28	case
31	rays	NOUN	25	obj
32	"	PUNCT	30	punct
33	that	PRON	35	obj
34	your	PRON	34	nmod:poss
35	bearded	VERB	35	nsubj
36	needs	VERB	30	acl:relcl
37	.	PUNCT	25	punct