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 Spanish story will surely end up being extremely costly to other European countries, including France, who is now expelling inciting preachers and forbidding veils and including others who sent troops to Iraq.
Postion	Tokenization
1	The
2	Spanish
3	story
4	will
5	surely
6	end
7	up
8	being
9	extremely
10	costly
11	to
12	other
13	European
14	countries
15	,
16	including
17	France
18	,
19	who
20	is
21	now
22	expelling
23	inciting
24	preachers
25	and
26	forbidding
27	veils
28	and
29	including
30	others
31	who
32	sent
33	troops
34	to
35	Iraq
36	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	Spanish	ADJ	3	amod
3	story	NOUN	6	nsubj
4	will	AUX	6	aux
5	surely	ADV	6	advmod
6	end	VERB	0	root
7	up	ADP	6	compound:prt
8	being	AUX	10	cop
9	extremely	ADV	10	advmod
10	costly	ADJ	6	xcomp
11	to	ADP	14	case
12	other	ADJ	14	amod
13	European	ADJ	14	amod
14	countries	NOUN	10	obl
15	,	PUNCT	14	punct
16	including	VERB	17	case
17	France	PROPN	14	nmod
18	,	PUNCT	17	punct
19	who	PRON	22	nsubj
20	is	AUX	22	aux
21	now	ADV	22	advmod
22	expelling	VERB	17	acl:relcl
23	inciting	VERB	24	amod
24	preachers	NOUN	22	obj
25	and	CCONJ	26	cc
26	forbidding	VERB	22	conj
27	veils	NOUN	26	obj
28	and	CCONJ	30	cc
29	including	VERB	30	case
30	others	NOUN	17	conj
31	who	PRON	32	nsubj
32	sent	VERB	30	acl:relcl
33	troops	NOUN	32	obj
34	to	ADP	35	case
35	Iraq	PROPN	32	obl
36	.	PUNCT	6	punct