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:
Němec tedy pravděpodobně vystřídá ve funkci dosavadního šéfa vládního úřadu Jiřího Kováře, jehož odvolání doporučila výkonná rada ODS 1. července.
Postion	Tokenization
1	Němec
2	tedy
3	pravděpodobně
4	vystřídá
5	ve
6	funkci
7	dosavadního
8	šéfa
9	vládního
10	úřadu
11	Jiřího
12	Kováře
13	,
14	jehož
15	odvolání
16	doporučila
17	výkonná
18	rada
19	ODS
20	1
21	.
22	července
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Němec	PROPN	4	nsubj
2	tedy	ADV	4	advmod
3	pravděpodobně	ADV	4	advmod
4	vystřídá	VERB	0	root
5	ve	ADP	6	case
6	funkci	NOUN	4	obl
7	dosavadního	ADJ	8	amod
8	šéfa	NOUN	4	obj
9	vládního	ADJ	10	amod
10	úřadu	NOUN	8	nmod
11	Jiřího	PROPN	8	flat
12	Kováře	PROPN	8	flat
13	,	PUNCT	16	punct
14	jehož	PRON	15	nmod
15	odvolání	NOUN	16	obj
16	doporučila	VERB	8	acl:relcl
17	výkonná	ADJ	18	amod
18	rada	NOUN	16	nsubj
19	ODS	PROPN	18	nmod
20	1	NUM	22	nummod
21	.	PUNCT	20	punct
22	července	NOUN	16	obl
23	.	PUNCT	4	punct