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 was thinking, that while I'm sitting here, relaxing and enjoying myself, those poor innocent animals are being cooked to death with heat in those Holocaust-esque death chambers.
Postion	Tokenization
1	I
2	was
3	thinking
4	,
5	that
6	while
7	I'm
8	I
9	'm
10	sitting
11	here
12	,
13	relaxing
14	and
15	enjoying
16	myself
17	,
18	those
19	poor
20	innocent
21	animals
22	are
23	being
24	cooked
25	to
26	death
27	with
28	heat
29	in
30	those
31	Holocaust-esque
32	death
33	chambers
34	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	was	AUX	3	aux
3	thinking	VERB	0	root
4	,	PUNCT	3	punct
5	that	SCONJ	23	mark
6	while	SCONJ	9	mark
7	I'm	_	None	_
8	I	PRON	9	nsubj
9	'm	AUX	9	aux
10	sitting	VERB	23	advcl
11	here	ADV	9	advmod
12	,	PUNCT	9	punct
13	relaxing	VERB	9	advcl
14	and	CCONJ	14	cc
15	enjoying	VERB	12	conj
16	myself	PRON	14	obj
17	,	PUNCT	23	punct
18	those	DET	20	det
19	poor	ADJ	20	amod
20	innocent	ADJ	20	amod
21	animals	NOUN	23	nsubj:pass
22	are	AUX	23	aux
23	being	AUX	23	aux:pass
24	cooked	VERB	3	ccomp
25	to	ADP	25	case
26	death	NOUN	23	obl
27	with	ADP	27	case
28	heat	NOUN	23	obl
29	in	ADP	32	case
30	those	DET	32	det
31	Holocaust-esque	ADJ	32	amod
32	death	NOUN	32	compound
33	chambers	NOUN	23	obl
34	.	PUNCT	3	punct