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:
Vláda kancléře Helmuta Kohla slíbila snížení daní firmám, rodinám a sociálně slabším zaměstnancům, bude-li znovu zvolena při všeobecných volbách 16.října.
Postion	Tokenization
1	Vláda
2	kancléře
3	Helmuta
4	Kohla
5	slíbila
6	snížení
7	daní
8	firmám
9	,
10	rodinám
11	a
12	sociálně
13	slabším
14	zaměstnancům
15	,
16	bude
17	-
18	li
19	znovu
20	zvolena
21	při
22	všeobecných
23	volbách
24	16
25	.
26	října
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Vláda	NOUN	5	nsubj
2	kancléře	NOUN	1	nmod
3	Helmuta	PROPN	2	flat
4	Kohla	PROPN	2	flat
5	slíbila	VERB	0	root
6	snížení	NOUN	5	obj
7	daní	NOUN	6	nmod
8	firmám	NOUN	5	obl:arg
9	,	PUNCT	10	punct
10	rodinám	NOUN	8	conj
11	a	CCONJ	14	cc
12	sociálně	ADV	13	advmod
13	slabším	ADJ	14	amod
14	zaměstnancům	NOUN	8	conj
15	,	PUNCT	20	punct
16	bude	AUX	20	aux:pass
17	-	PUNCT	20	punct
18	li	PART	20	mark
19	znovu	ADV	20	advmod
20	zvolena	ADJ	5	obl
21	při	ADP	23	case
22	všeobecných	ADJ	23	amod
23	volbách	NOUN	20	obl
24	16	NUM	26	nummod
25	.	PUNCT	24	punct
26	října	NOUN	23	nmod
27	.	PUNCT	5	punct