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:
První místo na této kandidátce zaujme bývalá poslankyně Federálního shromáždění Dagmar Lastovecká, na dalších místech se střídají zástupci obou dosud znesvářených křídel brněnské ODS.
Postion	Tokenization
1	První
2	místo
3	na
4	této
5	kandidátce
6	zaujme
7	bývalá
8	poslankyně
9	Federálního
10	shromáždění
11	Dagmar
12	Lastovecká
13	,
14	na
15	dalších
16	místech
17	se
18	střídají
19	zástupci
20	obou
21	dosud
22	znesvářených
23	křídel
24	brněnské
25	ODS
26	.
Position	Tokenization	UPOS	Head	Deprel
1	První	ADJ	2	amod
2	místo	NOUN	6	obj
3	na	ADP	5	case
4	této	DET	5	det
5	kandidátce	NOUN	2	nmod
6	zaujme	VERB	0	root
7	bývalá	ADJ	8	amod
8	poslankyně	NOUN	6	nsubj
9	Federálního	ADJ	10	amod
10	shromáždění	NOUN	8	nmod
11	Dagmar	PROPN	8	flat
12	Lastovecká	PROPN	8	flat
13	,	PUNCT	18	punct
14	na	ADP	16	case
15	dalších	ADJ	16	amod
16	místech	NOUN	18	obl
17	se	PRON	18	obj
18	střídají	VERB	6	conj
19	zástupci	NOUN	18	nsubj
20	obou	NUM	23	nummod
21	dosud	ADV	22	advmod
22	znesvářených	ADJ	23	amod
23	křídel	NOUN	19	nmod
24	brněnské	ADJ	25	amod
25	ODS	PROPN	23	nmod
26	.	PUNCT	6	punct