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:
Navíc každý menšinový proud by musel začít právě vymezením vůči osobě premiéra a jeho názorům, což je mnohdy i nad dobře míněné síly leckterého z poslanců.
Postion	Tokenization
1	Navíc
2	každý
3	menšinový
4	proud
5	by
6	musel
7	začít
8	právě
9	vymezením
10	vůči
11	osobě
12	premiéra
13	a
14	jeho
15	názorům
16	,
17	což
18	je
19	mnohdy
20	i
21	nad
22	dobře
23	míněné
24	síly
25	leckterého
26	z
27	poslanců
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Navíc	ADV	6	advmod
2	každý	DET	4	det
3	menšinový	ADJ	4	amod
4	proud	NOUN	6	nsubj
5	by	AUX	6	aux
6	musel	VERB	0	root
7	začít	VERB	6	xcomp
8	právě	ADV	9	advmod:emph
9	vymezením	NOUN	7	obl
10	vůči	ADP	11	case
11	osobě	NOUN	9	nmod
12	premiéra	NOUN	11	nmod
13	a	CCONJ	15	cc
14	jeho	DET	15	det
15	názorům	NOUN	11	conj
16	,	PUNCT	18	punct
17	což	PRON	18	nsubj
18	je	VERB	6	conj
19	mnohdy	ADV	18	advmod
20	i	CCONJ	24	advmod:emph
21	nad	ADP	24	case
22	dobře	ADV	23	advmod
23	míněné	ADJ	24	amod
24	síly	NOUN	18	obl
25	leckterého	DET	24	amod
26	z	ADP	27	case
27	poslanců	NOUN	25	nmod
28	.	PUNCT	6	punct