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:
Váš anglicky nebo německy sepsaný životopis zasílejte na adresu: ROSEMOUNT, nám. 5. května 3, 290 01 Poděbrady Zn.: nástup co nejdříve
Postion	Tokenization
1	Váš
2	anglicky
3	nebo
4	německy
5	sepsaný
6	životopis
7	zasílejte
8	na
9	adresu
10	:
11	ROSEMOUNT
12	,
13	nám
14	.
15	5
16	.
17	května
18	3
19	,
20	290
21	01
22	Poděbrady
23	Zn
24	.
25	:
26	nástup
27	co
28	nejdříve
Position	Tokenization	UPOS	Head	Deprel
1	Váš	DET	6	det
2	anglicky	ADV	5	advmod
3	nebo	CCONJ	4	cc
4	německy	ADV	2	conj
5	sepsaný	ADJ	6	amod
6	životopis	NOUN	7	obj
7	zasílejte	VERB	0	root
8	na	ADP	9	case
9	adresu	NOUN	7	obl
10	:	PUNCT	11	punct
11	ROSEMOUNT	PROPN	9	nmod
12	,	PUNCT	13	punct
13	nám	PRON	11	nmod
14	.	PUNCT	13	punct
15	5	NUM	17	nummod
16	.	PUNCT	15	punct
17	května	NOUN	13	nmod
18	3	NUM	17	nummod
19	,	PUNCT	22	punct
20	290	NUM	22	nummod
21	01	NUM	20	compound
22	Poděbrady	PROPN	11	nmod
23	Zn	NOUN	11	nmod
24	.	PUNCT	23	punct
25	:	PUNCT	26	punct
26	nástup	NOUN	23	nmod
27	co	ADV	28	advmod
28	nejdříve	ADV	26	advmod