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:
Nad zdravotním stavem osmistovkaře Pavla Soukupa, který si letos jako jeden z prvních zajistil rychlým časem start na HMS, se už pomalu stahovaly černé mraky.
Postion	Tokenization
1	Nad
2	zdravotním
3	stavem
4	osmistovkaře
5	Pavla
6	Soukupa
7	,
8	který
9	si
10	letos
11	jako
12	jeden
13	z
14	prvních
15	zajistil
16	rychlým
17	časem
18	start
19	na
20	HMS
21	,
22	se
23	už
24	pomalu
25	stahovaly
26	černé
27	mraky
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Nad	ADP	3	case
2	zdravotním	ADJ	3	amod
3	stavem	NOUN	25	obl
4	osmistovkaře	NOUN	3	nmod
5	Pavla	PROPN	4	flat
6	Soukupa	PROPN	4	flat
7	,	PUNCT	15	punct
8	který	DET	15	nsubj
9	si	PRON	15	obl
10	letos	ADV	15	advmod
11	jako	SCONJ	12	mark
12	jeden	NUM	8	xcomp
13	z	ADP	14	case
14	prvních	ADJ	12	amod
15	zajistil	VERB	4	acl:relcl
16	rychlým	ADJ	17	amod
17	časem	NOUN	15	obl
18	start	NOUN	15	obj
19	na	ADP	20	case
20	HMS	NOUN	18	nmod
21	,	PUNCT	15	punct
22	se	PRON	25	expl:pv
23	už	ADV	25	advmod
24	pomalu	ADV	25	advmod
25	stahovaly	VERB	0	root
26	černé	ADJ	27	amod
27	mraky	NOUN	25	nsubj
28	.	PUNCT	25	punct