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:
Právě Prost by se měl chopit role mluvčího pilotů, do které ještě v neděli v poledne v rozhovoru pro agenturu Reuter navrhoval Niki Lauda právě Sennu.
Postion	Tokenization
1	Právě
2	Prost
3	by
4	se
5	měl
6	chopit
7	role
8	mluvčího
9	pilotů
10	,
11	do
12	které
13	ještě
14	v
15	neděli
16	v
17	poledne
18	v
19	rozhovoru
20	pro
21	agenturu
22	Reuter
23	navrhoval
24	Niki
25	Lauda
26	právě
27	Sennu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Právě	ADV	2	advmod:emph
2	Prost	PROPN	5	nsubj
3	by	AUX	5	aux
4	se	PRON	6	expl:pv
5	měl	VERB	0	root
6	chopit	VERB	5	xcomp
7	role	NOUN	6	obl:arg
8	mluvčího	NOUN	7	nmod
9	pilotů	NOUN	8	nmod
10	,	PUNCT	23	punct
11	do	ADP	12	case
12	které	DET	23	obl
13	ještě	ADV	15	advmod
14	v	ADP	15	case
15	neděli	NOUN	23	obl
16	v	ADP	17	case
17	poledne	NOUN	23	obl
18	v	ADP	19	case
19	rozhovoru	NOUN	23	obl
20	pro	ADP	21	case
21	agenturu	NOUN	19	nmod
22	Reuter	PROPN	21	nmod
23	navrhoval	VERB	7	acl:relcl
24	Niki	PROPN	23	nsubj
25	Lauda	PROPN	24	flat
26	právě	ADV	27	advmod:emph
27	Sennu	PROPN	23	obj
28	.	PUNCT	5	punct