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:
Jedná se o mořskou řasu Grypania, která vytváří poměrně velké až 90 mm dlouhé spirální filamenty, které ke svému životu potřebovaly nejméně 1-10 % současné atmosférické úrovně kyslíku.
Postion	Tokenization
1	Jedná
2	se
3	o
4	mořskou
5	řasu
6	Grypania
7	,
8	která
9	vytváří
10	poměrně
11	velké
12	až
13	90
14	mm
15	dlouhé
16	spirální
17	filamenty
18	,
19	které
20	ke
21	svému
22	životu
23	potřebovaly
24	nejméně
25	1
26	-
27	10
28	%
29	současné
30	atmosférické
31	úrovně
32	kyslíku
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Jedná	VERB	0	root
2	se	PRON	1	expl:pv
3	o	ADP	5	case
4	mořskou	ADJ	5	amod
5	řasu	NOUN	1	obl:arg
6	Grypania	NOUN	5	nmod
7	,	PUNCT	9	punct
8	která	DET	9	nsubj
9	vytváří	VERB	5	acl:relcl
10	poměrně	ADV	11	advmod
11	velké	ADJ	17	amod
12	až	PART	13	advmod:emph
13	90	NUM	15	obl
14	mm	NOUN	13	nmod
15	dlouhé	ADJ	17	amod
16	spirální	ADJ	17	amod
17	filamenty	NOUN	9	obj
18	,	PUNCT	23	punct
19	které	DET	23	nsubj
20	ke	ADP	22	case
21	svému	DET	22	det
22	životu	NOUN	23	obl
23	potřebovaly	VERB	17	acl:relcl
24	nejméně	ADV	25	advmod:emph
25	1	NUM	23	obj
26	-	PUNCT	27	punct
27	10	NUM	25	conj
28	%	SYM	27	nmod
29	současné	ADJ	31	amod
30	atmosférické	ADJ	31	amod
31	úrovně	NOUN	28	nmod
32	kyslíku	NOUN	31	nmod
33	.	PUNCT	1	punct