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:
Nezanedbatelným problémem, který trápí místní lékaře, je velký nárůst neodborné konkurence: kdejaká paní v domácnosti si udělala třítýdenní kurs a nyní nabízí reflexní masáže, solárium atd.
Postion	Tokenization
1	Nezanedbatelným
2	problémem
3	,
4	který
5	trápí
6	místní
7	lékaře
8	,
9	je
10	velký
11	nárůst
12	neodborné
13	konkurence
14	:
15	kdejaká
16	paní
17	v
18	domácnosti
19	si
20	udělala
21	třítýdenní
22	kurs
23	a
24	nyní
25	nabízí
26	reflexní
27	masáže
28	,
29	solárium
30	atd
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Nezanedbatelným	ADJ	2	amod
2	problémem	NOUN	0	root
3	,	PUNCT	5	punct
4	který	DET	5	nsubj
5	trápí	VERB	2	acl:relcl
6	místní	ADJ	7	amod
7	lékaře	NOUN	5	obj
8	,	PUNCT	5	punct
9	je	AUX	2	cop
10	velký	ADJ	11	amod
11	nárůst	NOUN	2	nsubj
12	neodborné	ADJ	13	amod
13	konkurence	NOUN	11	nmod
14	:	PUNCT	20	punct
15	kdejaká	DET	16	det
16	paní	NOUN	20	nsubj
17	v	ADP	18	case
18	domácnosti	NOUN	16	nmod
19	si	PRON	20	obl
20	udělala	VERB	2	conj
21	třítýdenní	ADJ	22	amod
22	kurs	NOUN	20	obj
23	a	CCONJ	25	cc
24	nyní	ADV	25	advmod
25	nabízí	VERB	20	conj
26	reflexní	ADJ	27	amod
27	masáže	NOUN	25	obj
28	,	PUNCT	29	punct
29	solárium	NOUN	27	conj
30	atd	ADV	29	cc
31	.	PUNCT	2	punct