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:
Španělský cyklista Lejarreta, který měl před pěti měsíci těžký pád a byl dva týdny na jednotce intenzívní péče, se opět objevil na startu závodu Okolo La Rioji.
Postion	Tokenization
1	Španělský
2	cyklista
3	Lejarreta
4	,
5	který
6	měl
7	před
8	pěti
9	měsíci
10	těžký
11	pád
12	a
13	byl
14	dva
15	týdny
16	na
17	jednotce
18	intenzívní
19	péče
20	,
21	se
22	opět
23	objevil
24	na
25	startu
26	závodu
27	Okolo
28	La
29	Rioji
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Španělský	ADJ	2	amod
2	cyklista	NOUN	23	nsubj
3	Lejarreta	PROPN	2	flat
4	,	PUNCT	6	punct
5	který	DET	6	nsubj
6	měl	VERB	2	acl:relcl
7	před	ADP	9	case
8	pěti	NUM	9	nummod
9	měsíci	NOUN	6	obl
10	těžký	ADJ	11	amod
11	pád	NOUN	6	obj
12	a	CCONJ	13	cc
13	byl	VERB	6	conj
14	dva	NUM	15	nummod
15	týdny	NOUN	13	obl
16	na	ADP	17	case
17	jednotce	NOUN	13	obl
18	intenzívní	ADJ	19	amod
19	péče	NOUN	17	nmod
20	,	PUNCT	6	punct
21	se	PRON	23	expl:pv
22	opět	ADV	23	advmod
23	objevil	VERB	0	root
24	na	ADP	25	case
25	startu	NOUN	23	obl
26	závodu	NOUN	25	nmod
27	Okolo	ADP	29	case
28	La	ADJ	29	amod
29	Rioji	PROPN	26	nmod
30	.	PUNCT	23	punct