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:
Silně poškozená je cesta údolím Klínového potoka od Strážného směrem nahoru a také stezky v okolí Labské boudy, nad Bílým Labem byly hlášeny sesuvy kamenů.
Postion	Tokenization
1	Silně
2	poškozená
3	je
4	cesta
5	údolím
6	Klínového
7	potoka
8	od
9	Strážného
10	směrem
11	nahoru
12	a
13	také
14	stezky
15	v
16	okolí
17	Labské
18	boudy
19	,
20	nad
21	Bílým
22	Labem
23	byly
24	hlášeny
25	sesuvy
26	kamenů
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Silně	ADV	2	advmod
2	poškozená	ADJ	0	root
3	je	AUX	2	cop
4	cesta	NOUN	2	nsubj
5	údolím	NOUN	4	nmod
6	Klínového	ADJ	7	amod
7	potoka	NOUN	5	nmod
8	od	ADP	9	case
9	Strážného	PROPN	4	nmod
10	směrem	NOUN	11	case
11	nahoru	ADV	4	advmod
12	a	CCONJ	14	cc
13	také	ADV	14	advmod:emph
14	stezky	NOUN	4	conj
15	v	ADP	16	case
16	okolí	NOUN	14	nmod
17	Labské	ADJ	18	amod
18	boudy	NOUN	16	nmod
19	,	PUNCT	24	punct
20	nad	ADP	22	case
21	Bílým	ADJ	22	amod
22	Labem	PROPN	24	obl
23	byly	AUX	24	aux:pass
24	hlášeny	ADJ	2	conj
25	sesuvy	NOUN	24	nsubj:pass
26	kamenů	NOUN	25	nmod
27	.	PUNCT	2	punct