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:
Podle něho dohlíží v útulku nad karanténou nezávislý veterinární lékař a byla učiněna i další opatření, aby se zde zcela vyloučilo riziko nákaz.
Postion	Tokenization
1	Podle
2	něho
3	dohlíží
4	v
5	útulku
6	nad
7	karanténou
8	nezávislý
9	veterinární
10	lékař
11	a
12	byla
13	učiněna
14	i
15	další
16	opatření
17	,
18	aby
19	aby
20	by
21	se
22	zde
23	zcela
24	vyloučilo
25	riziko
26	nákaz
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	něho	PRON	3	obl
3	dohlíží	VERB	0	root
4	v	ADP	5	case
5	útulku	NOUN	3	obl
6	nad	ADP	7	case
7	karanténou	NOUN	3	obl
8	nezávislý	ADJ	10	amod
9	veterinární	ADJ	10	amod
10	lékař	NOUN	3	nsubj
11	a	CCONJ	13	cc
12	byla	AUX	13	aux:pass
13	učiněna	ADJ	3	conj
14	i	CCONJ	16	advmod:emph
15	další	ADJ	16	amod
16	opatření	NOUN	13	nsubj:pass
17	,	PUNCT	23	punct
18	aby	_	None	_
19	aby	SCONJ	23	mark
20	by	AUX	23	aux
21	se	PRON	23	expl:pass
22	zde	ADV	23	advmod
23	zcela	ADV	23	advmod
24	vyloučilo	VERB	13	advcl
25	riziko	NOUN	23	nsubj:pass
26	nákaz	NOUN	24	nmod
27	.	PUNCT	3	punct