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:
Vkládali tak do něj naději, že by jednou mohl zaujmout místo hvězdy Tučňáků Maria Lemieuxe, který se v posledních dvou letech potýká se zdravotními problémy.
Postion	Tokenization
1	Vkládali
2	tak
3	do
4	něj
5	naději
6	,
7	že
8	by
9	jednou
10	mohl
11	zaujmout
12	místo
13	hvězdy
14	Tučňáků
15	Maria
16	Lemieuxe
17	,
18	který
19	se
20	v
21	posledních
22	dvou
23	letech
24	potýká
25	se
26	zdravotními
27	problémy
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Vkládali	VERB	0	root
2	tak	ADV	1	advmod
3	do	ADP	4	case
4	něj	PRON	1	obl
5	naději	NOUN	1	obj
6	,	PUNCT	10	punct
7	že	SCONJ	10	mark
8	by	AUX	10	aux
9	jednou	ADV	10	advmod
10	mohl	VERB	5	acl
11	zaujmout	VERB	10	xcomp
12	místo	NOUN	11	obj
13	hvězdy	NOUN	15	nmod
14	Tučňáků	NOUN	13	nmod
15	Maria	PROPN	12	nmod
16	Lemieuxe	PROPN	15	flat
17	,	PUNCT	24	punct
18	který	DET	24	nsubj
19	se	PRON	24	expl:pv
20	v	ADP	23	case
21	posledních	ADJ	23	amod
22	dvou	NUM	23	nummod
23	letech	NOUN	24	obl
24	potýká	VERB	15	acl:relcl
25	se	ADP	27	case
26	zdravotními	ADJ	27	amod
27	problémy	NOUN	24	obl:arg
28	.	PUNCT	1	punct