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:
Život jako z dobrodružného románu: střídání míst, zaměstnání, jazyků, náhlé obraty, útěky nejdříve před morem hnědým, posléze před rudým.
Postion	Tokenization
1	Život
2	jako
3	z
4	dobrodružného
5	románu
6	:
7	střídání
8	míst
9	,
10	zaměstnání
11	,
12	jazyků
13	,
14	náhlé
15	obraty
16	,
17	útěky
18	nejdříve
19	před
20	morem
21	hnědým
22	,
23	posléze
24	před
25	rudým
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Život	NOUN	0	root
2	jako	SCONJ	5	mark
3	z	ADP	5	case
4	dobrodružného	ADJ	5	amod
5	románu	NOUN	1	dep
6	:	PUNCT	7	punct
7	střídání	NOUN	1	conj
8	míst	NOUN	7	nmod
9	,	PUNCT	10	punct
10	zaměstnání	NOUN	8	conj
11	,	PUNCT	12	punct
12	jazyků	NOUN	8	conj
13	,	PUNCT	15	punct
14	náhlé	ADJ	15	amod
15	obraty	NOUN	7	conj
16	,	PUNCT	17	punct
17	útěky	NOUN	15	conj
18	nejdříve	ADV	17	dep
19	před	ADP	20	case
20	morem	NOUN	18	conj
21	hnědým	ADJ	20	amod
22	,	PUNCT	23	punct
23	posléze	ADV	18	conj
24	před	ADP	25	case
25	rudým	ADJ	18	conj
26	.	PUNCT	1	punct