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:
Zavádět do názvů nových vyznamenání jména historických osobností kromě T. G. Masaryka však ostatní poslanci včetně předkladatele zákona V. Koronthályho (KDS) odmítli.
Postion	Tokenization
1	Zavádět
2	do
3	názvů
4	nových
5	vyznamenání
6	jména
7	historických
8	osobností
9	kromě
10	T
11	.
12	G
13	.
14	Masaryka
15	však
16	ostatní
17	poslanci
18	včetně
19	předkladatele
20	zákona
21	V
22	.
23	Koronthályho
24	(
25	KDS
26	)
27	odmítli
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Zavádět	VERB	27	xcomp
2	do	ADP	3	case
3	názvů	NOUN	1	obl
4	nových	ADJ	5	amod
5	vyznamenání	NOUN	3	nmod
6	jména	NOUN	1	obj
7	historických	ADJ	8	amod
8	osobností	NOUN	6	nmod
9	kromě	ADP	10	case
10	T	PROPN	8	nmod
11	.	PUNCT	10	punct
12	G	PROPN	10	flat
13	.	PUNCT	12	punct
14	Masaryka	PROPN	10	flat
15	však	CCONJ	27	cc
16	ostatní	ADJ	17	amod
17	poslanci	NOUN	27	nsubj
18	včetně	ADV	19	case
19	předkladatele	NOUN	27	obl
20	zákona	NOUN	19	nmod
21	V	PROPN	19	nmod
22	.	PUNCT	21	punct
23	Koronthályho	PROPN	21	flat
24	(	PUNCT	21	punct
25	KDS	PROPN	21	dep
26	)	PUNCT	21	punct
27	odmítli	VERB	0	root
28	.	PUNCT	27	punct