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:
Po zpřísnění původního ministerského návrhu včera parlamentní výbor pro sociální politiku a zdravotnictví doporučil sněmovně ke schválení novely zákonů o zdravotním pojištění a pojišťovnách.
Postion	Tokenization
1	Po
2	zpřísnění
3	původního
4	ministerského
5	návrhu
6	včera
7	parlamentní
8	výbor
9	pro
10	sociální
11	politiku
12	a
13	zdravotnictví
14	doporučil
15	sněmovně
16	ke
17	schválení
18	novely
19	zákonů
20	o
21	zdravotním
22	pojištění
23	a
24	pojišťovnách
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	2	case
2	zpřísnění	NOUN	14	obl
3	původního	ADJ	5	amod
4	ministerského	ADJ	5	amod
5	návrhu	NOUN	2	nmod
6	včera	ADV	14	advmod
7	parlamentní	ADJ	8	amod
8	výbor	NOUN	14	nsubj
9	pro	ADP	11	case
10	sociální	ADJ	11	amod
11	politiku	NOUN	8	nmod
12	a	CCONJ	13	cc
13	zdravotnictví	NOUN	11	conj
14	doporučil	VERB	0	root
15	sněmovně	NOUN	14	obl:arg
16	ke	ADP	17	case
17	schválení	NOUN	14	obl
18	novely	NOUN	14	obj
19	zákonů	NOUN	18	nmod
20	o	ADP	22	case
21	zdravotním	ADJ	22	amod
22	pojištění	NOUN	19	nmod
23	a	CCONJ	24	cc
24	pojišťovnách	NOUN	22	conj
25	.	PUNCT	14	punct