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:
Foustka se stává tragickou obětí víry v sílu vlastní inteligence, kterou považuje za dostatečnou záruku, že se naoko poddá, ale přitom si podrží svou čest i nezávislost.
Postion	Tokenization
1	Foustka
2	se
3	stává
4	tragickou
5	obětí
6	víry
7	v
8	sílu
9	vlastní
10	inteligence
11	,
12	kterou
13	považuje
14	za
15	dostatečnou
16	záruku
17	,
18	že
19	se
20	naoko
21	poddá
22	,
23	ale
24	přitom
25	si
26	podrží
27	svou
28	čest
29	i
30	nezávislost
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Foustka	PROPN	3	nsubj
2	se	PRON	3	expl:pv
3	stává	VERB	0	root
4	tragickou	ADJ	5	amod
5	obětí	NOUN	3	obl:arg
6	víry	NOUN	5	nmod
7	v	ADP	8	case
8	sílu	NOUN	6	nmod
9	vlastní	ADJ	10	amod
10	inteligence	NOUN	8	nmod
11	,	PUNCT	13	punct
12	kterou	DET	13	obj
13	považuje	VERB	10	acl:relcl
14	za	ADP	16	case
15	dostatečnou	ADJ	16	amod
16	záruku	NOUN	13	obl:arg
17	,	PUNCT	21	punct
18	že	SCONJ	21	mark
19	se	PRON	21	expl:pv
20	naoko	ADV	21	advmod
21	poddá	VERB	16	acl
22	,	PUNCT	26	punct
23	ale	CCONJ	26	cc
24	přitom	ADV	26	advmod
25	si	PRON	26	obl
26	podrží	VERB	21	conj
27	svou	DET	28	det
28	čest	NOUN	26	obj
29	i	CCONJ	30	cc
30	nezávislost	NOUN	28	conj
31	.	PUNCT	3	punct