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:
Prezidentu Clintonovi prošel v Senátu zákon, který by měl vzrušit naše profesionální humanisty a povzbudit přísné vymycovače zločinu.
Postion	Tokenization
1	Prezidentu
2	Clintonovi
3	prošel
4	v
5	Senátu
6	zákon
7	,
8	který
9	by
10	měl
11	vzrušit
12	naše
13	profesionální
14	humanisty
15	a
16	povzbudit
17	přísné
18	vymycovače
19	zločinu
20	.
Position	Tokenization	UPOS	Head	Deprel
1	Prezidentu	NOUN	3	obl
2	Clintonovi	PROPN	1	flat
3	prošel	VERB	0	root
4	v	ADP	5	case
5	Senátu	NOUN	3	obl
6	zákon	NOUN	3	nsubj
7	,	PUNCT	10	punct
8	který	DET	10	nsubj
9	by	AUX	10	aux
10	měl	VERB	6	acl:relcl
11	vzrušit	VERB	10	xcomp
12	naše	DET	14	det
13	profesionální	ADJ	14	amod
14	humanisty	NOUN	11	obj
15	a	CCONJ	16	cc
16	povzbudit	VERB	11	conj
17	přísné	ADJ	18	amod
18	vymycovače	NOUN	16	obj
19	zločinu	NOUN	18	nmod
20	.	PUNCT	3	punct