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:
Poslanci Mašek a Severa odjeli ranním vlakem druhé třídy z Prahy do New Yorku, kde si chtějí stěžovat v OSN na výsledky vyšetřování o Kalvodových indiciích.
Postion	Tokenization
1	Poslanci
2	Mašek
3	a
4	Severa
5	odjeli
6	ranním
7	vlakem
8	druhé
9	třídy
10	z
11	Prahy
12	do
13	New
14	Yorku
15	,
16	kde
17	si
18	chtějí
19	stěžovat
20	v
21	OSN
22	na
23	výsledky
24	vyšetřování
25	o
26	Kalvodových
27	indiciích
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Poslanci	NOUN	2	nmod
2	Mašek	PROPN	5	nsubj
3	a	CCONJ	4	cc
4	Severa	PROPN	2	conj
5	odjeli	VERB	0	root
6	ranním	ADJ	7	amod
7	vlakem	NOUN	5	obl
8	druhé	ADJ	9	amod
9	třídy	NOUN	7	nmod
10	z	ADP	11	case
11	Prahy	PROPN	5	obl
12	do	ADP	14	case
13	New	ADJ	14	amod
14	Yorku	PROPN	5	obl
15	,	PUNCT	18	punct
16	kde	ADV	18	advmod
17	si	PRON	19	expl:pv
18	chtějí	VERB	14	acl:relcl
19	stěžovat	VERB	18	xcomp
20	v	ADP	21	case
21	OSN	PROPN	19	obl
22	na	ADP	23	case
23	výsledky	NOUN	19	obl:arg
24	vyšetřování	NOUN	23	nmod
25	o	ADP	27	case
26	Kalvodových	ADJ	27	amod
27	indiciích	NOUN	24	nmod
28	.	PUNCT	5	punct