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 is far simpler, however, to achieve a trillion spore concentration in the production of a few grams than in industrial processing typical of a state sponsored lab.
Postion	Tokenization
1	It
2	is
3	far
4	simpler
5	,
6	however
7	,
8	to
9	achieve
10	a
11	trillion
12	spore
13	concentration
14	in
15	the
16	production
17	of
18	a
19	few
20	grams
21	than
22	in
23	industrial
24	processing
25	typical
26	of
27	a
28	state
29	sponsored
30	lab
31	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	4	expl
2	is	AUX	4	cop
3	far	ADV	4	advmod
4	simpler	ADJ	0	root
5	,	PUNCT	4	punct
6	however	ADV	4	advmod
7	,	PUNCT	4	punct
8	to	PART	9	mark
9	achieve	VERB	4	csubj
10	a	DET	13	det
11	trillion	NUM	12	nummod
12	spore	NOUN	13	compound
13	concentration	NOUN	9	obj
14	in	ADP	16	case
15	the	DET	16	det
16	production	NOUN	9	obl
17	of	ADP	20	case
18	a	DET	20	det
19	few	ADJ	20	amod
20	grams	NOUN	16	nmod
21	than	ADP	24	case
22	in	ADP	24	case
23	industrial	ADJ	24	amod
24	processing	NOUN	4	obl
25	typical	ADJ	24	amod
26	of	ADP	30	case
27	a	DET	30	det
28	state	NOUN	29	obl:npmod
29	sponsored	VERB	30	amod
30	lab	NOUN	25	obl
31	.	PUNCT	4	punct