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:
either way you also need to keep an eye on the temperature if you are using a dry fish tank as UV lights in my experience up the temperature significantly and without proper ventilation it can become an oven.
Postion	Tokenization
1	either
2	way
3	you
4	also
5	need
6	to
7	keep
8	an
9	eye
10	on
11	the
12	temperature
13	if
14	you
15	are
16	using
17	a
18	dry
19	fish
20	tank
21	as
22	UV
23	lights
24	in
25	my
26	experience
27	up
28	the
29	temperature
30	significantly
31	and
32	without
33	proper
34	ventilation
35	it
36	can
37	become
38	an
39	oven
40	.
Position	Tokenization	UPOS	Head	Deprel
1	either	DET	2	det
2	way	NOUN	5	obl:npmod
3	you	PRON	5	nsubj
4	also	ADV	5	advmod
5	need	VERB	0	root
6	to	PART	7	mark
7	keep	VERB	5	xcomp
8	an	DET	9	det
9	eye	NOUN	7	obj
10	on	ADP	12	case
11	the	DET	12	det
12	temperature	NOUN	7	obl
13	if	SCONJ	16	mark
14	you	PRON	16	nsubj
15	are	AUX	16	aux
16	using	VERB	5	advcl
17	a	DET	20	det
18	dry	NOUN	20	compound
19	fish	NOUN	20	compound
20	tank	NOUN	16	obj
21	as	ADP	27	mark
22	UV	PROPN	23	compound
23	lights	NOUN	27	nsubj
24	in	ADP	26	case
25	my	PRON	26	nmod:poss
26	experience	NOUN	27	obl
27	up	VERB	5	advcl
28	the	DET	29	det
29	temperature	NOUN	27	obj
30	significantly	ADV	27	advmod
31	and	CCONJ	27	cc
32	without	ADP	34	case
33	proper	ADJ	34	amod
34	ventilation	NOUN	37	obl
35	it	PRON	37	nsubj
36	can	AUX	37	aux
37	become	VERB	27	conj
38	an	DET	39	det
39	oven	NOUN	37	xcomp
40	.	PUNCT	5	punct