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:
The "trillion spore" issue was at the heart of a lot of mistaken theories of the matter concluding that state sponsorship was necessarily indicated.
Postion	Tokenization
1	The
2	"
3	trillion
4	spore
5	"
6	issue
7	was
8	at
9	the
10	heart
11	of
12	a
13	lot
14	of
15	mistaken
16	theories
17	of
18	the
19	matter
20	concluding
21	that
22	state
23	sponsorship
24	was
25	necessarily
26	indicated
27	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	6	det
2	"	PUNCT	4	punct
3	trillion	NUM	4	nummod
4	spore	NOUN	6	compound
5	"	PUNCT	4	punct
6	issue	NOUN	10	nsubj
7	was	AUX	10	cop
8	at	ADP	10	case
9	the	DET	10	det
10	heart	NOUN	0	root
11	of	ADP	13	case
12	a	DET	13	det
13	lot	NOUN	10	nmod
14	of	ADP	16	case
15	mistaken	ADJ	16	amod
16	theories	NOUN	13	nmod
17	of	ADP	19	case
18	the	DET	19	det
19	matter	NOUN	16	nmod
20	concluding	VERB	16	acl
21	that	SCONJ	26	mark
22	state	NOUN	23	compound
23	sponsorship	NOUN	26	nsubj:pass
24	was	AUX	26	aux:pass
25	necessarily	ADV	26	advmod
26	indicated	VERB	20	ccomp
27	.	PUNCT	10	punct