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:
If you watch a lot of fights (youtube) and research some of the history (http://en.wikipedia.org/wiki/Bullfighting) you will find yourself enjoying it a lot more!
Postion	Tokenization
1	If
2	you
3	watch
4	a
5	lot
6	of
7	fights
8	(
9	youtube
10	)
11	and
12	research
13	some
14	of
15	the
16	history
17	(
18	http://en.wikipedia.org/wiki/Bullfighting
19	)
20	you
21	will
22	find
23	yourself
24	enjoying
25	it
26	a
27	lot
28	more
29	!
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	3	mark
2	you	PRON	3	nsubj
3	watch	VERB	22	advcl
4	a	DET	5	det
5	lot	NOUN	3	obj
6	of	ADP	7	case
7	fights	NOUN	5	nmod
8	(	PUNCT	3	punct
9	youtube	PROPN	3	obl:npmod
10	)	PUNCT	3	punct
11	and	CCONJ	12	cc
12	research	VERB	3	conj
13	some	DET	12	obj
14	of	ADP	16	case
15	the	DET	16	det
16	history	NOUN	13	nmod
17	(	PUNCT	12	punct
18	http://en.wikipedia.org/wiki/Bullfighting	X	12	obl:npmod
19	)	PUNCT	12	punct
20	you	PRON	22	nsubj
21	will	AUX	22	aux
22	find	VERB	0	root
23	yourself	PRON	22	obj
24	enjoying	VERB	23	advcl
25	it	PRON	24	obj
26	a	DET	27	det
27	lot	NOUN	28	obl:npmod
28	more	ADV	24	advmod
29	!	PUNCT	22	punct