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:
Po bouřlivé debatě schválili včera večer ve Štrasburku poslanci Evropského parlamentu absolutní většinou hlasů smlouvy o rozšíření Evropské unie o další čtyři státy.
Postion	Tokenization
1	Po
2	bouřlivé
3	debatě
4	schválili
5	včera
6	večer
7	ve
8	Štrasburku
9	poslanci
10	Evropského
11	parlamentu
12	absolutní
13	většinou
14	hlasů
15	smlouvy
16	o
17	rozšíření
18	Evropské
19	unie
20	o
21	další
22	čtyři
23	státy
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	3	case
2	bouřlivé	ADJ	3	amod
3	debatě	NOUN	4	obl
4	schválili	VERB	0	root
5	včera	ADV	4	advmod
6	večer	ADV	5	advmod
7	ve	ADP	8	case
8	Štrasburku	PROPN	4	obl
9	poslanci	NOUN	4	nsubj
10	Evropského	ADJ	11	amod
11	parlamentu	NOUN	9	nmod
12	absolutní	ADJ	13	amod
13	většinou	NOUN	4	obl
14	hlasů	NOUN	13	nmod
15	smlouvy	NOUN	4	obj
16	o	ADP	17	case
17	rozšíření	NOUN	15	nmod
18	Evropské	ADJ	19	amod
19	unie	NOUN	17	nmod
20	o	ADP	23	case
21	další	ADJ	23	amod
22	čtyři	NUM	23	nummod
23	státy	NOUN	17	nmod
24	.	PUNCT	4	punct