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:
Mluvčí ministerstva zdravotnictví M. Soukupová včera uvedla, že ministr předloží znovu vládě k projednání privatizaci Homolky, jak o to usnesením požádal Parlament.
Postion	Tokenization
1	Mluvčí
2	ministerstva
3	zdravotnictví
4	M
5	.
6	Soukupová
7	včera
8	uvedla
9	,
10	že
11	ministr
12	předloží
13	znovu
14	vládě
15	k
16	projednání
17	privatizaci
18	Homolky
19	,
20	jak
21	o
22	to
23	usnesením
24	požádal
25	Parlament
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Mluvčí	NOUN	8	nsubj
2	ministerstva	NOUN	1	nmod
3	zdravotnictví	NOUN	2	nmod
4	M	PROPN	1	flat
5	.	PUNCT	4	punct
6	Soukupová	PROPN	1	flat
7	včera	ADV	8	advmod
8	uvedla	VERB	0	root
9	,	PUNCT	12	punct
10	že	SCONJ	12	mark
11	ministr	NOUN	12	nsubj
12	předloží	VERB	8	ccomp
13	znovu	ADV	12	advmod
14	vládě	NOUN	12	obl:arg
15	k	ADP	16	case
16	projednání	NOUN	12	obl
17	privatizaci	NOUN	12	obj
18	Homolky	PROPN	17	nmod
19	,	PUNCT	24	punct
20	jak	SCONJ	24	mark
21	o	ADP	22	case
22	to	DET	24	obl:arg
23	usnesením	NOUN	24	obl
24	požádal	VERB	12	parataxis
25	Parlament	NOUN	24	nsubj
26	.	PUNCT	8	punct