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:
J. H. Martin se svým týmem zjistil, že velmi malá množství rozpuštěného dvojmocného železa v mořské vodě způsobují přemnožení jednoduchých řas, které pak spotřebovávají větší množství oxidu uhličitého.
Postion	Tokenization
1	J
2	.
3	H
4	.
5	Martin
6	se
7	svým
8	týmem
9	zjistil
10	,
11	že
12	velmi
13	malá
14	množství
15	rozpuštěného
16	dvojmocného
17	železa
18	v
19	mořské
20	vodě
21	způsobují
22	přemnožení
23	jednoduchých
24	řas
25	,
26	které
27	pak
28	spotřebovávají
29	větší
30	množství
31	oxidu
32	uhličitého
33	.
Position	Tokenization	UPOS	Head	Deprel
1	J	PROPN	9	nsubj
2	.	PUNCT	1	punct
3	H	PROPN	1	flat
4	.	PUNCT	3	punct
5	Martin	PROPN	1	flat
6	se	ADP	8	case
7	svým	DET	8	det
8	týmem	NOUN	9	obl
9	zjistil	VERB	0	root
10	,	PUNCT	21	punct
11	že	SCONJ	21	mark
12	velmi	ADV	13	advmod
13	malá	ADJ	14	amod
14	množství	NOUN	21	nsubj
15	rozpuštěného	ADJ	17	amod
16	dvojmocného	ADJ	17	amod
17	železa	NOUN	14	nmod
18	v	ADP	20	case
19	mořské	ADJ	20	amod
20	vodě	NOUN	14	nmod
21	způsobují	VERB	9	ccomp
22	přemnožení	NOUN	21	obj
23	jednoduchých	ADJ	24	amod
24	řas	NOUN	22	nmod
25	,	PUNCT	28	punct
26	které	DET	28	nsubj
27	pak	ADV	28	advmod
28	spotřebovávají	VERB	24	acl:relcl
29	větší	ADJ	30	amod
30	množství	NOUN	28	obj
31	oxidu	NOUN	30	nmod
32	uhličitého	ADJ	31	amod
33	.	PUNCT	9	punct