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:
Pražská Slavia totiž ztratila zcela nečekaně body s Českými Budějovicemi, které na půdě vedoucího týmu ligy získaly své první letošní ligové vítězství.
Postion	Tokenization
1	Pražská
2	Slavia
3	totiž
4	ztratila
5	zcela
6	nečekaně
7	body
8	s
9	Českými
10	Budějovicemi
11	,
12	které
13	na
14	půdě
15	vedoucího
16	týmu
17	ligy
18	získaly
19	své
20	první
21	letošní
22	ligové
23	vítězství
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Pražská	ADJ	2	amod
2	Slavia	PROPN	4	nsubj
3	totiž	ADV	4	advmod
4	ztratila	VERB	0	root
5	zcela	ADV	6	advmod
6	nečekaně	ADV	4	advmod
7	body	NOUN	4	obj
8	s	ADP	10	case
9	Českými	ADJ	10	amod
10	Budějovicemi	PROPN	4	obl
11	,	PUNCT	18	punct
12	které	DET	18	nsubj
13	na	ADP	14	case
14	půdě	NOUN	18	obl
15	vedoucího	ADJ	16	amod
16	týmu	NOUN	14	nmod
17	ligy	NOUN	16	nmod
18	získaly	VERB	10	acl:relcl
19	své	DET	23	det
20	první	ADJ	23	amod
21	letošní	ADJ	23	amod
22	ligové	ADJ	23	amod
23	vítězství	NOUN	18	obj
24	.	PUNCT	4	punct