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:
Slavná filmová herečka německého původu Marlene Dietrichová zůstala i včera, v den svých 90. narozenin, věrna své tradiční zdrženlivosti.
Postion	Tokenization
1	Slavná
2	filmová
3	herečka
4	německého
5	původu
6	Marlene
7	Dietrichová
8	zůstala
9	i
10	včera
11	,
12	v
13	den
14	svých
15	90
16	.
17	narozenin
18	,
19	věrna
20	své
21	tradiční
22	zdrženlivosti
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Slavná	ADJ	3	amod
2	filmová	ADJ	3	amod
3	herečka	NOUN	8	nsubj
4	německého	ADJ	5	amod
5	původu	NOUN	3	nmod
6	Marlene	PROPN	3	flat
7	Dietrichová	PROPN	3	flat
8	zůstala	VERB	0	root
9	i	CCONJ	10	advmod:emph
10	včera	ADV	8	advmod
11	,	PUNCT	13	punct
12	v	ADP	13	case
13	den	NOUN	10	appos
14	svých	DET	17	det
15	90	NUM	17	nummod
16	.	PUNCT	15	punct
17	narozenin	NOUN	13	nmod
18	,	PUNCT	13	punct
19	věrna	ADJ	8	obj
20	své	DET	22	det
21	tradiční	ADJ	22	amod
22	zdrženlivosti	NOUN	19	obl:arg
23	.	PUNCT	8	punct