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:
Po dvaatřicetiletém Ketilu Ulvangovi, jehož nečekaně zastihla vichřice s prudkým sněžením při běhu za zdravím, pátralo po dva týdny 2500 dobrovolníků.
Postion	Tokenization
1	Po
2	dvaatřicetiletém
3	Ketilu
4	Ulvangovi
5	,
6	jehož
7	nečekaně
8	zastihla
9	vichřice
10	s
11	prudkým
12	sněžením
13	při
14	běhu
15	za
16	zdravím
17	,
18	pátralo
19	po
20	dva
21	týdny
22	2500
23	dobrovolníků
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	3	case
2	dvaatřicetiletém	ADJ	3	amod
3	Ketilu	PROPN	18	obl:arg
4	Ulvangovi	PROPN	3	flat
5	,	PUNCT	8	punct
6	jehož	PRON	8	obj
7	nečekaně	ADV	8	advmod
8	zastihla	VERB	3	acl:relcl
9	vichřice	NOUN	8	nsubj
10	s	ADP	12	case
11	prudkým	ADJ	12	amod
12	sněžením	NOUN	9	nmod
13	při	ADP	14	case
14	běhu	NOUN	8	obl
15	za	ADP	16	case
16	zdravím	NOUN	14	nmod
17	,	PUNCT	8	punct
18	pátralo	VERB	0	root
19	po	ADP	21	case
20	dva	NUM	21	nummod
21	týdny	NOUN	18	obl
22	2500	NUM	23	nummod:gov
23	dobrovolníků	NOUN	18	nsubj
24	.	PUNCT	18	punct