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:
Bohužel vnitřní podmínky (politické ambice cynických individuí) a vnější faktory (síly prosazující zájmy neokolonialismu a zbrojařského průmyslu) tomu zatím úspěšně brání.
Postion	Tokenization
1	Bohužel
2	vnitřní
3	podmínky
4	(
5	politické
6	ambice
7	cynických
8	individuí
9	)
10	a
11	vnější
12	faktory
13	(
14	síly
15	prosazující
16	zájmy
17	neokolonialismu
18	a
19	zbrojařského
20	průmyslu
21	)
22	tomu
23	zatím
24	úspěšně
25	brání
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Bohužel	PART	25	advmod
2	vnitřní	ADJ	3	amod
3	podmínky	NOUN	25	nsubj
4	(	PUNCT	6	punct
5	politické	ADJ	6	amod
6	ambice	NOUN	3	appos
7	cynických	ADJ	8	amod
8	individuí	NOUN	6	nmod
9	)	PUNCT	6	punct
10	a	CCONJ	12	cc
11	vnější	ADJ	12	amod
12	faktory	NOUN	3	conj
13	(	PUNCT	14	punct
14	síly	NOUN	12	appos
15	prosazující	ADJ	14	amod
16	zájmy	NOUN	15	obj
17	neokolonialismu	NOUN	16	nmod
18	a	CCONJ	20	cc
19	zbrojařského	ADJ	20	amod
20	průmyslu	NOUN	17	conj
21	)	PUNCT	14	punct
22	tomu	DET	25	obl:arg
23	zatím	ADV	25	advmod
24	úspěšně	ADV	25	advmod
25	brání	VERB	0	root
26	.	PUNCT	25	punct