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:
Když malé dítě přijde do školy, nebo když vstoupíte do nového zaměstnání, tak jste ovlivněni prvním dojmem, který poté vytváří modely jednání.
Postion	Tokenization
1	Když
2	malé
3	dítě
4	přijde
5	do
6	školy
7	,
8	nebo
9	když
10	vstoupíte
11	do
12	nového
13	zaměstnání
14	,
15	tak
16	jste
17	ovlivněni
18	prvním
19	dojmem
20	,
21	který
22	poté
23	vytváří
24	modely
25	jednání
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Když	SCONJ	4	mark
2	malé	ADJ	3	amod
3	dítě	NOUN	4	nsubj
4	přijde	VERB	17	advcl
5	do	ADP	6	case
6	školy	NOUN	4	obl
7	,	PUNCT	10	punct
8	nebo	CCONJ	10	cc
9	když	SCONJ	10	mark
10	vstoupíte	VERB	4	conj
11	do	ADP	13	case
12	nového	ADJ	13	amod
13	zaměstnání	NOUN	10	obl
14	,	PUNCT	4	punct
15	tak	CCONJ	17	advmod
16	jste	AUX	17	cop
17	ovlivněni	ADJ	0	root
18	prvním	ADJ	19	amod
19	dojmem	NOUN	17	obl:arg
20	,	PUNCT	23	punct
21	který	DET	23	nsubj
22	poté	ADV	23	advmod
23	vytváří	VERB	19	acl:relcl
24	modely	NOUN	23	obj
25	jednání	NOUN	24	nmod
26	.	PUNCT	17	punct