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:
Technicky jsem na tom jako dříve a domnívám se, že mohu dosáhnout času pod 48 sekund a porazit i většinu současných závodníků, uvedl Moses.
Postion	Tokenization
1	Technicky
2	jsem
3	na
4	tom
5	jako
6	dříve
7	a
8	domnívám
9	se
10	,
11	že
12	mohu
13	dosáhnout
14	času
15	pod
16	48
17	sekund
18	a
19	porazit
20	i
21	většinu
22	současných
23	závodníků
24	,
25	uvedl
26	Moses
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Technicky	ADV	2	advmod
2	jsem	VERB	25	ccomp
3	na	ADP	4	case
4	tom	DET	2	obl
5	jako	SCONJ	6	mark
6	dříve	ADV	2	advcl
7	a	CCONJ	8	cc
8	domnívám	VERB	2	conj
9	se	PRON	8	expl:pv
10	,	PUNCT	12	punct
11	že	SCONJ	12	mark
12	mohu	VERB	8	ccomp
13	dosáhnout	VERB	12	xcomp
14	času	NOUN	13	obl:arg
15	pod	ADP	17	case
16	48	NUM	17	nummod:gov
17	sekund	NOUN	14	nmod
18	a	CCONJ	19	cc
19	porazit	VERB	13	conj
20	i	CCONJ	21	advmod:emph
21	většinu	NOUN	19	obj
22	současných	ADJ	23	amod
23	závodníků	NOUN	21	nmod
24	,	PUNCT	2	punct
25	uvedl	VERB	0	root
26	Moses	PROPN	25	nsubj
27	.	PUNCT	25	punct