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:
Vzhledem k neukončenému vývoji pánve má pás po nárazu tendenci posunout se vzhůru a po zaříznutí do břicha následují poranění jater, sleziny i střev.
Postion	Tokenization
1	Vzhledem
2	k
3	neukončenému
4	vývoji
5	pánve
6	má
7	pás
8	po
9	nárazu
10	tendenci
11	posunout
12	se
13	vzhůru
14	a
15	po
16	zaříznutí
17	do
18	břicha
19	následují
20	poranění
21	jater
22	,
23	sleziny
24	i
25	střev
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Vzhledem	ADP	4	case
2	k	ADP	1	fixed
3	neukončenému	ADJ	4	amod
4	vývoji	NOUN	6	obl
5	pánve	NOUN	4	nmod
6	má	VERB	0	root
7	pás	NOUN	6	nsubj
8	po	ADP	9	case
9	nárazu	NOUN	6	obl
10	tendenci	NOUN	6	obj
11	posunout	VERB	10	acl
12	se	PRON	11	expl:pv
13	vzhůru	ADV	11	advmod
14	a	CCONJ	19	cc
15	po	ADP	16	case
16	zaříznutí	NOUN	19	obl
17	do	ADP	18	case
18	břicha	NOUN	16	nmod
19	následují	VERB	6	conj
20	poranění	NOUN	19	nsubj
21	jater	NOUN	20	nmod
22	,	PUNCT	23	punct
23	sleziny	NOUN	21	conj
24	i	CCONJ	25	cc
25	střev	NOUN	21	conj
26	.	PUNCT	6	punct