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:
Podle jeho slov ty síly, které o jeho přijetí usilovaly, se nyní budou moci s plným nasazením zabývat problémy, "na jejichž vyřešení závisí naše budoucnost".
Postion	Tokenization
1	Podle
2	jeho
3	slov
4	ty
5	síly
6	,
7	které
8	o
9	jeho
10	přijetí
11	usilovaly
12	,
13	se
14	nyní
15	budou
16	moci
17	s
18	plným
19	nasazením
20	zabývat
21	problémy
22	,
23	"
24	na
25	jejichž
26	vyřešení
27	závisí
28	naše
29	budoucnost
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	jeho	DET	3	det
3	slov	NOUN	16	obl
4	ty	DET	5	det
5	síly	NOUN	16	nsubj
6	,	PUNCT	11	punct
7	které	DET	11	nsubj
8	o	ADP	10	case
9	jeho	DET	10	det
10	přijetí	NOUN	11	obl:arg
11	usilovaly	VERB	5	acl:relcl
12	,	PUNCT	11	punct
13	se	PRON	20	expl:pv
14	nyní	ADV	16	advmod
15	budou	AUX	16	aux
16	moci	VERB	0	root
17	s	ADP	19	case
18	plným	ADJ	19	amod
19	nasazením	NOUN	20	obl
20	zabývat	VERB	16	xcomp
21	problémy	NOUN	20	obl:arg
22	,	PUNCT	27	punct
23	"	PUNCT	27	punct
24	na	ADP	26	case
25	jejichž	DET	26	det
26	vyřešení	NOUN	27	obl
27	závisí	VERB	21	acl:relcl
28	naše	DET	29	det
29	budoucnost	NOUN	27	nsubj
30	"	PUNCT	27	punct
31	.	PUNCT	16	punct