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:
Poslancům polského Sejmu se včera nepodařilo přehlasovat veto prezidenta Lecha Walesy na novelizaci trestního zákona umožňující částečnou liberalizaci umělého přerušení těhotenství.
Postion	Tokenization
1	Poslancům
2	polského
3	Sejmu
4	se
5	včera
6	nepodařilo
7	přehlasovat
8	veto
9	prezidenta
10	Lecha
11	Walesy
12	na
13	novelizaci
14	trestního
15	zákona
16	umožňující
17	částečnou
18	liberalizaci
19	umělého
20	přerušení
21	těhotenství
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Poslancům	NOUN	6	obl:arg
2	polského	ADJ	3	amod
3	Sejmu	PROPN	1	nmod
4	se	PRON	6	expl:pv
5	včera	ADV	6	advmod
6	nepodařilo	VERB	0	root
7	přehlasovat	VERB	6	csubj
8	veto	NOUN	7	obj
9	prezidenta	NOUN	8	nmod
10	Lecha	PROPN	9	flat
11	Walesy	PROPN	9	flat
12	na	ADP	13	case
13	novelizaci	NOUN	8	nmod
14	trestního	ADJ	15	amod
15	zákona	NOUN	13	nmod
16	umožňující	ADJ	13	amod
17	částečnou	ADJ	18	amod
18	liberalizaci	NOUN	16	obj
19	umělého	ADJ	20	amod
20	přerušení	NOUN	18	nmod
21	těhotenství	NOUN	20	nmod
22	.	PUNCT	6	punct