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:
8.prosince se Galileo procvičil i tím, že pořídil snímky Měsíce v řadě vlnových délek - od infračerveného oboru po ultrafialový.
Postion	Tokenization
1	8
2	.
3	prosince
4	se
5	Galileo
6	procvičil
7	i
8	tím
9	,
10	že
11	pořídil
12	snímky
13	Měsíce
14	v
15	řadě
16	vlnových
17	délek
18	-
19	od
20	infračerveného
21	oboru
22	po
23	ultrafialový
24	.
Position	Tokenization	UPOS	Head	Deprel
1	8	NUM	3	nummod
2	.	PUNCT	1	punct
3	prosince	NOUN	6	obl
4	se	PRON	6	obj
5	Galileo	PROPN	6	nsubj
6	procvičil	VERB	0	root
7	i	CCONJ	8	advmod:emph
8	tím	DET	6	obl
9	,	PUNCT	11	punct
10	že	SCONJ	11	mark
11	pořídil	VERB	8	acl
12	snímky	NOUN	11	obj
13	Měsíce	NOUN	12	nmod
14	v	ADP	15	case
15	řadě	NOUN	11	obl
16	vlnových	ADJ	17	amod
17	délek	NOUN	15	nmod
18	-	PUNCT	17	punct
19	od	ADP	21	case
20	infračerveného	ADJ	21	amod
21	oboru	NOUN	17	nmod
22	po	ADP	23	case
23	ultrafialový	ADJ	17	dep
24	.	PUNCT	6	punct