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:
"It is very dangerous for this country to condone the overthrow of democratically elected governments," said David Leavy, spokesman for the National Security Council.
Postion	Tokenization
1	"
2	It
3	is
4	very
5	dangerous
6	for
7	this
8	country
9	to
10	condone
11	the
12	overthrow
13	of
14	democratically
15	elected
16	governments
17	,
18	"
19	said
20	David
21	Leavy
22	,
23	spokesman
24	for
25	the
26	National
27	Security
28	Council
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	19	punct
2	It	PRON	5	expl
3	is	AUX	5	cop
4	very	ADV	5	advmod
5	dangerous	ADJ	19	ccomp
6	for	SCONJ	10	mark
7	this	DET	8	det
8	country	NOUN	10	nsubj
9	to	PART	10	mark
10	condone	VERB	5	csubj
11	the	DET	12	det
12	overthrow	NOUN	10	obj
13	of	ADP	16	case
14	democratically	ADV	15	advmod
15	elected	VERB	16	amod
16	governments	NOUN	12	nmod
17	,	PUNCT	19	punct
18	"	PUNCT	19	punct
19	said	VERB	0	root
20	David	PROPN	19	nsubj
21	Leavy	PROPN	20	flat
22	,	PUNCT	20	punct
23	spokesman	NOUN	20	appos
24	for	ADP	28	case
25	the	DET	28	det
26	National	PROPN	27	compound
27	Security	PROPN	28	compound
28	Council	PROPN	23	nmod
29	.	PUNCT	19	punct