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:
Ať se Václav Havel svým morálním odsouzením jakékoliv zbrojní výroby v tehdejším Československu politicky ukvapil, nebo ne, je zřejmé, že on ji nezrušil.
Postion	Tokenization
1	Ať
2	se
3	Václav
4	Havel
5	svým
6	morálním
7	odsouzením
8	jakékoliv
9	zbrojní
10	výroby
11	v
12	tehdejším
13	Československu
14	politicky
15	ukvapil
16	,
17	nebo
18	ne
19	,
20	je
21	zřejmé
22	,
23	že
24	on
25	ji
26	nezrušil
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Ať	SCONJ	15	mark
2	se	PRON	15	expl:pv
3	Václav	PROPN	15	nsubj
4	Havel	PROPN	3	flat
5	svým	DET	7	det
6	morálním	ADJ	7	amod
7	odsouzením	NOUN	15	obl
8	jakékoliv	DET	10	det
9	zbrojní	ADJ	10	amod
10	výroby	NOUN	7	nmod
11	v	ADP	13	case
12	tehdejším	ADJ	13	amod
13	Československu	PROPN	10	nmod
14	politicky	ADV	15	advmod
15	ukvapil	VERB	21	advcl
16	,	PUNCT	18	punct
17	nebo	CCONJ	18	cc
18	ne	PART	15	conj
19	,	PUNCT	15	punct
20	je	AUX	21	cop
21	zřejmé	ADJ	0	root
22	,	PUNCT	26	punct
23	že	SCONJ	26	mark
24	on	PRON	26	nsubj
25	ji	PRON	26	obj
26	nezrušil	VERB	21	csubj
27	.	PUNCT	21	punct