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:
I bet you also did take charcoal as it is used for barbecue which does not get as hot as real coal (e.g. for blacksmithing one needs coal, not barbecue charcoal).
Postion	Tokenization
1	I
2	bet
3	you
4	also
5	did
6	take
7	charcoal
8	as
9	it
10	is
11	used
12	for
13	barbecue
14	which
15	does
16	not
17	get
18	as
19	hot
20	as
21	real
22	coal
23	(
24	e.g.
25	for
26	blacksmithing
27	one
28	needs
29	coal
30	,
31	not
32	barbecue
33	charcoal
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	bet	VERB	0	root
3	you	PRON	6	nsubj
4	also	ADV	6	advmod
5	did	AUX	6	aux
6	take	VERB	2	ccomp
7	charcoal	NOUN	6	obj
8	as	SCONJ	11	mark
9	it	PRON	11	nsubj:pass
10	is	AUX	11	aux:pass
11	used	VERB	6	advcl
12	for	ADP	13	case
13	barbecue	NOUN	11	obl
14	which	PRON	17	nsubj
15	does	AUX	17	aux
16	not	PART	17	advmod
17	get	VERB	7	acl:relcl
18	as	ADV	17	advmod
19	hot	ADJ	17	xcomp
20	as	ADP	22	case
21	real	ADJ	22	amod
22	coal	NOUN	18	obl
23	(	PUNCT	28	punct
24	e.g.	ADV	28	advmod
25	for	ADP	26	case
26	blacksmithing	NOUN	28	obl
27	one	PRON	28	nsubj
28	needs	VERB	2	parataxis
29	coal	NOUN	28	obj
30	,	PUNCT	29	punct
31	not	ADV	33	advmod
32	barbecue	NOUN	33	compound
33	charcoal	NOUN	29	conj
34	)	PUNCT	28	punct
35	.	PUNCT	2	punct