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:
What matters is that the terrorists believe that they caused the result and that they won by driving Spain out of Iraq.
Postion	Tokenization
1	What
2	matters
3	is
4	that
5	the
6	terrorists
7	believe
8	that
9	they
10	caused
11	the
12	result
13	and
14	that
15	they
16	won
17	by
18	driving
19	Spain
20	out
21	of
22	Iraq
23	.
Position	Tokenization	UPOS	Head	Deprel
1	What	PRON	2	nsubj
2	matters	VERB	3	csubj
3	is	VERB	0	root
4	that	SCONJ	7	mark
5	the	DET	6	det
6	terrorists	NOUN	7	nsubj
7	believe	VERB	3	ccomp
8	that	SCONJ	10	mark
9	they	PRON	10	nsubj
10	caused	VERB	7	ccomp
11	the	DET	12	det
12	result	NOUN	10	obj
13	and	CCONJ	16	cc
14	that	SCONJ	16	mark
15	they	PRON	16	nsubj
16	won	VERB	10	conj
17	by	SCONJ	18	mark
18	driving	VERB	16	advcl
19	Spain	PROPN	18	obj
20	out	ADP	22	case
21	of	ADP	22	case
22	Iraq	PROPN	18	obl
23	.	PUNCT	3	punct