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 text: Pavel Volf nám napsal obsáhlý dopis, ze kterého vyjímáme: "Na čtvrtek 27. 8. jsem byl předvolán telegramem k mimosoutěžní kontrole, kterou měl provést MUDr. Chlumský z Ústavu sportovní medicíny.
Position	Tokenization	UPOS	Head	Deprel
1	Pavel	PROPN	4	nsubj
2	Volf	PROPN	1	flat
3	nám	PRON	4	obl:arg
4	napsal	VERB	0	root
5	obsáhlý	ADJ	6	amod
6	dopis	NOUN	4	obj
7	,	PUNCT	10	punct
8	ze	ADP	9	case
9	kterého	DET	10	obl
10	vyjímáme	VERB	6	acl:relcl
11	:	PUNCT	21	punct
12	"	PUNCT	21	punct
13	Na	ADP	14	case
14	čtvrtek	NOUN	21	obl
15	27	NUM	17	compound
16	.	PUNCT	15	punct
17	8	NUM	14	nummod
18	.	PUNCT	17	punct
19	jsem	AUX	21	aux:pass
20	byl	AUX	21	aux:pass
21	předvolán	ADJ	10	obj
22	telegramem	NOUN	21	obl
23	k	ADP	25	case
24	mimosoutěžní	ADJ	25	amod
25	kontrole	NOUN	21	obl
26	,	PUNCT	28	punct
27	kterou	DET	29	obj
28	měl	VERB	25	acl:relcl
29	provést	VERB	28	xcomp
30	MUDr	NOUN	32	nmod
31	.	PUNCT	30	punct
32	Chlumský	PROPN	28	nsubj
33	z	ADP	34	case
34	Ústavu	NOUN	32	nmod
35	sportovní	ADJ	36	amod
36	medicíny	NOUN	34	nmod
37	.	PUNCT	4	punct