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:
Martine Stibon sice ponechala ženám dlouhé bílé redingoty a kalhoty cigaretového střihu, ale zároveň jim přikázala mít pod rozepnutým sakem pouhou podprsenku.
Postion	Tokenization
1	Martine
2	Stibon
3	sice
4	ponechala
5	ženám
6	dlouhé
7	bílé
8	redingoty
9	a
10	kalhoty
11	cigaretového
12	střihu
13	,
14	ale
15	zároveň
16	jim
17	přikázala
18	mít
19	pod
20	rozepnutým
21	sakem
22	pouhou
23	podprsenku
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Martine	PROPN	4	nsubj
2	Stibon	PROPN	1	flat
3	sice	ADV	4	cc
4	ponechala	VERB	0	root
5	ženám	NOUN	4	obl:arg
6	dlouhé	ADJ	8	amod
7	bílé	ADJ	8	amod
8	redingoty	NOUN	4	obj
9	a	CCONJ	10	cc
10	kalhoty	NOUN	8	conj
11	cigaretového	ADJ	12	amod
12	střihu	NOUN	10	nmod
13	,	PUNCT	17	punct
14	ale	CCONJ	17	cc
15	zároveň	ADV	17	advmod
16	jim	PRON	17	obl:arg
17	přikázala	VERB	4	conj
18	mít	VERB	17	xcomp
19	pod	ADP	21	case
20	rozepnutým	ADJ	21	amod
21	sakem	NOUN	18	obl
22	pouhou	ADJ	23	amod
23	podprsenku	NOUN	18	obj
24	.	PUNCT	4	punct