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:
Tvrdí to ve své nejnovější knize "Rok rozhodnutí" někdejší sociálnědemokratický šéf bonnského kabinetu Helmut Schmidt, kterého právě Kohl v roce 1982 sesadil z kancléřské funkce.
Postion	Tokenization
1	Tvrdí
2	to
3	ve
4	své
5	nejnovější
6	knize
7	"
8	Rok
9	rozhodnutí
10	"
11	někdejší
12	sociálnědemokratický
13	šéf
14	bonnského
15	kabinetu
16	Helmut
17	Schmidt
18	,
19	kterého
20	právě
21	Kohl
22	v
23	roce
24	1982
25	sesadil
26	z
27	kancléřské
28	funkce
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Tvrdí	VERB	0	root
2	to	DET	1	obj
3	ve	ADP	6	case
4	své	DET	6	det
5	nejnovější	ADJ	6	amod
6	knize	NOUN	1	obl
7	"	PUNCT	8	punct
8	Rok	NOUN	6	nmod
9	rozhodnutí	NOUN	8	nmod
10	"	PUNCT	8	punct
11	někdejší	ADJ	13	amod
12	sociálnědemokratický	ADJ	13	amod
13	šéf	NOUN	1	nsubj
14	bonnského	ADJ	15	amod
15	kabinetu	NOUN	13	nmod
16	Helmut	PROPN	13	flat
17	Schmidt	PROPN	13	flat
18	,	PUNCT	25	punct
19	kterého	DET	25	obj
20	právě	ADV	21	advmod:emph
21	Kohl	PROPN	25	nsubj
22	v	ADP	23	case
23	roce	NOUN	25	obl
24	1982	NUM	23	nummod
25	sesadil	VERB	13	acl:relcl
26	z	ADP	28	case
27	kancléřské	ADJ	28	amod
28	funkce	NOUN	25	obl
29	.	PUNCT	1	punct