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 marches on the 12th of July are only really attended by protestants in the Ulster but in spite of the are the largest attended paraded in Ireland.
Postion	Tokenization
1	The
2	marches
3	on
4	the
5	12th
6	of
7	July
8	are
9	only
10	really
11	attended
12	by
13	protestants
14	in
15	the
16	Ulster
17	but
18	in
19	spite
20	of
21	the
22	are
23	the
24	largest
25	attended
26	paraded
27	in
28	Ireland
29	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	marches	NOUN	11	nsubj:pass
3	on	ADP	5	case
4	the	DET	5	det
5	12th	NOUN	2	nmod
6	of	ADP	7	case
7	July	PROPN	5	nmod
8	are	AUX	11	aux:pass
9	only	ADV	11	advmod
10	really	ADV	11	advmod
11	attended	VERB	0	root
12	by	ADP	13	case
13	protestants	PROPN	11	obl
14	in	ADP	16	case
15	the	DET	16	det
16	Ulster	PROPN	13	nmod
17	but	CCONJ	26	cc
18	in	ADP	19	case
19	spite	NOUN	26	obl
20	of	ADP	19	nmod
21	the	PRON	26	nsubj
22	are	AUX	26	cop
23	the	DET	26	det
24	largest	ADJ	25	compound
25	attended	VERB	26	amod
26	paraded	NOUN	11	conj
27	in	ADP	28	case
28	Ireland	PROPN	26	nmod
29	.	PUNCT	11	punct