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:
Kandidátka byla sestavena střídavě s tím, že první místo na ní zaujala dcera předsedy Ústavního soudu ČR, bývalá poslankyně a předsedkyně místní privatizační komise Dagmar Lastovecká.
Postion	Tokenization
1	Kandidátka
2	byla
3	sestavena
4	střídavě
5	s
6	tím
7	,
8	že
9	první
10	místo
11	na
12	ní
13	zaujala
14	dcera
15	předsedy
16	Ústavního
17	soudu
18	ČR
19	,
20	bývalá
21	poslankyně
22	a
23	předsedkyně
24	místní
25	privatizační
26	komise
27	Dagmar
28	Lastovecká
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Kandidátka	NOUN	3	nsubj:pass
2	byla	AUX	3	aux:pass
3	sestavena	ADJ	0	root
4	střídavě	ADV	3	advmod
5	s	ADP	6	case
6	tím	DET	3	obl
7	,	PUNCT	13	punct
8	že	SCONJ	13	mark
9	první	ADJ	10	amod
10	místo	NOUN	13	obj
11	na	ADP	12	case
12	ní	PRON	10	nmod
13	zaujala	VERB	6	acl
14	dcera	NOUN	27	nmod
15	předsedy	NOUN	14	nmod
16	Ústavního	ADJ	17	amod
17	soudu	NOUN	15	nmod
18	ČR	PROPN	17	nmod
19	,	PUNCT	21	punct
20	bývalá	ADJ	21	amod
21	poslankyně	NOUN	14	conj
22	a	CCONJ	23	cc
23	předsedkyně	NOUN	14	conj
24	místní	ADJ	26	amod
25	privatizační	ADJ	26	amod
26	komise	NOUN	23	nmod
27	Dagmar	PROPN	13	nsubj
28	Lastovecká	PROPN	27	flat
29	.	PUNCT	3	punct