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:
Mnohem přísnější a méně tolerantní k vládě než v předchozích letech bude letos podle předsedy rozpočtového výboru Tomáše Ježka (ODA) projednávání návrhu rozpočtu na rok 1995:
Postion	Tokenization
1	Mnohem
2	přísnější
3	a
4	méně
5	tolerantní
6	k
7	vládě
8	než
9	v
10	předchozích
11	letech
12	bude
13	letos
14	podle
15	předsedy
16	rozpočtového
17	výboru
18	Tomáše
19	Ježka
20	(
21	ODA
22	)
23	projednávání
24	návrhu
25	rozpočtu
26	na
27	rok
28	1995
29	:
Position	Tokenization	UPOS	Head	Deprel
1	Mnohem	ADV	2	advmod
2	přísnější	ADJ	0	root
3	a	CCONJ	5	cc
4	méně	ADV	5	advmod
5	tolerantní	ADJ	2	conj
6	k	ADP	7	case
7	vládě	NOUN	5	obl:arg
8	než	SCONJ	11	mark
9	v	ADP	11	case
10	předchozích	ADJ	11	amod
11	letech	NOUN	4	dep
12	bude	AUX	2	cop
13	letos	ADV	2	advmod
14	podle	ADP	15	case
15	předsedy	NOUN	2	obl
16	rozpočtového	ADJ	17	amod
17	výboru	NOUN	15	nmod
18	Tomáše	PROPN	15	flat
19	Ježka	PROPN	15	flat
20	(	PUNCT	15	punct
21	ODA	PROPN	15	dep
22	)	PUNCT	15	punct
23	projednávání	NOUN	2	nsubj
24	návrhu	NOUN	23	nmod
25	rozpočtu	NOUN	24	nmod
26	na	ADP	27	case
27	rok	NOUN	25	nmod
28	1995	NUM	27	nummod
29	:	PUNCT	2	punct