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:
Před pěti lety vzbudil Havel naděje na usmíření, jeho páteční řeč by však na česko-německé vztahy mohla nanést vrstvu ledu, uzavírá list.
Postion	Tokenization
1	Před
2	pěti
3	lety
4	vzbudil
5	Havel
6	naděje
7	na
8	usmíření
9	,
10	jeho
11	páteční
12	řeč
13	by
14	však
15	na
16	česko
17	-
18	německé
19	vztahy
20	mohla
21	nanést
22	vrstvu
23	ledu
24	,
25	uzavírá
26	list
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Před	ADP	3	case
2	pěti	NUM	3	nummod
3	lety	NOUN	4	obl
4	vzbudil	VERB	25	advcl
5	Havel	PROPN	4	nsubj
6	naděje	NOUN	4	obj
7	na	ADP	8	case
8	usmíření	NOUN	6	nmod
9	,	PUNCT	20	punct
10	jeho	DET	12	det
11	páteční	ADJ	12	amod
12	řeč	NOUN	20	nsubj
13	by	AUX	20	aux
14	však	CCONJ	20	cc
15	na	ADP	19	case
16	česko	ADJ	19	amod
17	-	PUNCT	18	punct
18	německé	ADJ	16	conj
19	vztahy	NOUN	21	obl
20	mohla	VERB	4	conj
21	nanést	VERB	20	xcomp
22	vrstvu	NOUN	21	obj
23	ledu	NOUN	22	nmod
24	,	PUNCT	4	punct
25	uzavírá	VERB	0	root
26	list	NOUN	25	nsubj
27	.	PUNCT	25	punct