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:
V tomto ohledu dopadla lépe Lucy Brewerová, které jeden ze zákazníků bostonského nevěstince, v němž si vydělávala na živobytí, věnoval knížku o Deborah Sampsonové.
Postion	Tokenization
1	V
2	tomto
3	ohledu
4	dopadla
5	lépe
6	Lucy
7	Brewerová
8	,
9	které
10	jeden
11	ze
12	zákazníků
13	bostonského
14	nevěstince
15	,
16	v
17	němž
18	si
19	vydělávala
20	na
21	živobytí
22	,
23	věnoval
24	knížku
25	o
26	Deborah
27	Sampsonové
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	tomto	DET	3	det
3	ohledu	NOUN	4	obl
4	dopadla	VERB	0	root
5	lépe	ADV	4	advmod
6	Lucy	PROPN	4	nsubj
7	Brewerová	PROPN	6	flat
8	,	PUNCT	23	punct
9	které	DET	23	obl:arg
10	jeden	NUM	23	nsubj
11	ze	ADP	12	case
12	zákazníků	NOUN	10	nmod
13	bostonského	ADJ	14	amod
14	nevěstince	NOUN	12	nmod
15	,	PUNCT	19	punct
16	v	ADP	17	case
17	němž	PRON	19	obl
18	si	PRON	19	obl
19	vydělávala	VERB	14	acl:relcl
20	na	ADP	21	case
21	živobytí	NOUN	19	obl
22	,	PUNCT	19	punct
23	věnoval	VERB	6	acl:relcl
24	knížku	NOUN	23	obj
25	o	ADP	26	case
26	Deborah	PROPN	24	nmod
27	Sampsonové	PROPN	26	flat
28	.	PUNCT	4	punct