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:
The media has tended to overlook the fact that when the FBI uses the word "domestic" the word includes a US-based, highly-educated supporter of the militant islamists.
Postion	Tokenization
1	The
2	media
3	has
4	tended
5	to
6	overlook
7	the
8	fact
9	that
10	when
11	the
12	FBI
13	uses
14	the
15	word
16	"
17	domestic
18	"
19	the
20	word
21	includes
22	a
23	US
24	-
25	based
26	,
27	highly
28	-
29	educated
30	supporter
31	of
32	the
33	militant
34	islamists
35	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	media	NOUN	4	nsubj
3	has	AUX	4	aux
4	tended	VERB	0	root
5	to	PART	6	mark
6	overlook	VERB	4	xcomp
7	the	DET	8	det
8	fact	NOUN	6	obj
9	that	SCONJ	21	mark
10	when	SCONJ	13	mark
11	the	DET	12	det
12	FBI	PROPN	13	nsubj
13	uses	VERB	21	advcl
14	the	DET	15	det
15	word	NOUN	13	obj
16	"	PUNCT	17	punct
17	domestic	NOUN	15	appos
18	"	PUNCT	17	punct
19	the	DET	20	det
20	word	NOUN	21	nsubj
21	includes	VERB	8	acl
22	a	DET	30	det
23	US	PROPN	25	obl:npmod
24	-	PUNCT	25	punct
25	based	VERB	30	amod
26	,	PUNCT	30	punct
27	highly	ADV	29	advmod
28	-	PUNCT	29	punct
29	educated	ADJ	30	amod
30	supporter	NOUN	21	obj
31	of	ADP	34	case
32	the	DET	34	det
33	militant	ADJ	34	amod
34	islamists	NOUN	30	nmod
35	.	PUNCT	4	punct