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:
Krátce po projevu bývalého místopředsedy vlády jsem za ním zašel se záměrem, zeptat se na důvody jeho odchodu z politiky.
Postion	Tokenization
1	Krátce
2	po
3	projevu
4	bývalého
5	místopředsedy
6	vlády
7	jsem
8	za
9	ním
10	zašel
11	se
12	záměrem
13	,
14	zeptat
15	se
16	na
17	důvody
18	jeho
19	odchodu
20	z
21	politiky
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Krátce	ADV	10	advmod
2	po	ADP	3	case
3	projevu	NOUN	1	obl
4	bývalého	ADJ	5	amod
5	místopředsedy	NOUN	3	nmod
6	vlády	NOUN	5	nmod
7	jsem	AUX	10	aux
8	za	ADP	9	case
9	ním	PRON	10	obl
10	zašel	VERB	0	root
11	se	ADP	12	case
12	záměrem	NOUN	10	obl
13	,	PUNCT	14	punct
14	zeptat	VERB	12	acl
15	se	PRON	14	expl:pv
16	na	ADP	17	case
17	důvody	NOUN	14	obl:arg
18	jeho	DET	19	det
19	odchodu	NOUN	17	nmod
20	z	ADP	21	case
21	politiky	NOUN	19	nmod
22	.	PUNCT	10	punct