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:
Although there was a dominance of single spores and a trillion spore concentration, there were clumps as large as 40 - 100 microns.
Postion	Tokenization
1	Although
2	there
3	was
4	a
5	dominance
6	of
7	single
8	spores
9	and
10	a
11	trillion
12	spore
13	concentration
14	,
15	there
16	were
17	clumps
18	as
19	large
20	as
21	40
22	-
23	100
24	microns
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Although	SCONJ	3	mark
2	there	PRON	3	expl
3	was	VERB	16	advcl
4	a	DET	5	det
5	dominance	NOUN	3	nsubj
6	of	ADP	8	case
7	single	ADJ	8	amod
8	spores	NOUN	5	nmod
9	and	CCONJ	13	cc
10	a	DET	13	det
11	trillion	NUM	12	nummod
12	spore	NOUN	13	compound
13	concentration	NOUN	5	conj
14	,	PUNCT	16	punct
15	there	PRON	16	expl
16	were	VERB	0	root
17	clumps	NOUN	16	nsubj
18	as	ADV	19	advmod
19	large	ADJ	17	amod
20	as	ADP	24	case
21	40	NUM	24	nummod
22	-	SYM	23	case
23	100	NUM	21	nmod
24	microns	NOUN	18	obl
25	.	PUNCT	16	punct