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:
Si hay un fan de Georgie Fame, o de Gary Brooker o de Albert Lee, puede estar a dos metros de él, verle sudar.
Postion	Tokenization
1	Si
2	hay
3	un
4	fan
5	de
6	Georgie
7	Fame
8	,
9	o
10	de
11	Gary
12	Brooker
13	o
14	de
15	Albert
16	Lee
17	,
18	puede
19	estar
20	a
21	dos
22	metros
23	de
24	él
25	,
26	verle
27	ver
28	le
29	sudar
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	2	mark
2	hay	AUX	19	advcl
3	un	DET	4	det
4	fan	NOUN	2	obj
5	de	ADP	6	case
6	Georgie	PROPN	4	nmod
7	Fame	PROPN	6	flat
8	,	PUNCT	11	punct
9	o	CCONJ	11	cc
10	de	ADP	11	case
11	Gary	PROPN	6	conj
12	Brooker	PROPN	11	flat
13	o	CCONJ	15	cc
14	de	ADP	15	case
15	Albert	PROPN	6	conj
16	Lee	PROPN	15	flat
17	,	PUNCT	2	punct
18	puede	AUX	19	aux
19	estar	VERB	0	root
20	a	ADP	22	case
21	dos	NUM	22	nummod
22	metros	NOUN	19	obl
23	de	ADP	24	case
24	él	PRON	22	nmod
25	,	PUNCT	19	punct
26	verle	_	None	_
27	ver	VERB	19	advcl
28	le	PRON	26	obj
29	sudar	VERB	26	xcomp
30	.	PUNCT	19	punct