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:
Pražský úřad vyšetřování dokončil šetření ve věci obviněného generálního ředitele Českých drah Emanuela Šípa a předal spis Městskému státnímu zastupitelství v Praze s návrhem na podání obžaloby.
Postion	Tokenization
1	Pražský
2	úřad
3	vyšetřování
4	dokončil
5	šetření
6	ve
7	věci
8	obviněného
9	generálního
10	ředitele
11	Českých
12	drah
13	Emanuela
14	Šípa
15	a
16	předal
17	spis
18	Městskému
19	státnímu
20	zastupitelství
21	v
22	Praze
23	s
24	návrhem
25	na
26	podání
27	obžaloby
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Pražský	ADJ	2	amod
2	úřad	NOUN	4	nsubj
3	vyšetřování	NOUN	2	nmod
4	dokončil	VERB	0	root
5	šetření	NOUN	4	obj
6	ve	ADP	7	case
7	věci	NOUN	5	nmod
8	obviněného	ADJ	10	amod
9	generálního	ADJ	10	amod
10	ředitele	NOUN	7	nmod
11	Českých	ADJ	12	amod
12	drah	NOUN	10	nmod
13	Emanuela	PROPN	10	flat
14	Šípa	PROPN	10	flat
15	a	CCONJ	16	cc
16	předal	VERB	4	conj
17	spis	NOUN	16	obj
18	Městskému	ADJ	20	amod
19	státnímu	ADJ	20	amod
20	zastupitelství	NOUN	16	obl:arg
21	v	ADP	22	case
22	Praze	PROPN	20	nmod
23	s	ADP	24	case
24	návrhem	NOUN	16	obl
25	na	ADP	26	case
26	podání	NOUN	24	nmod
27	obžaloby	NOUN	26	nmod
28	.	PUNCT	4	punct