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:
El doble que se enfrentará a la pareja Sandon Stolle-Mark Woodforde será el formado por "Guga" y Jaime Oncins.
Postion	Tokenization
1	El
2	doble
3	que
4	se
5	enfrentará
6	a
7	la
8	pareja
9	Sandon
10	Stolle-Mark
11	Woodforde
12	será
13	el
14	formado
15	por
16	"
17	Guga
18	"
19	y
20	Jaime
21	Oncins
22	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	doble	NOUN	14	nsubj
3	que	PRON	5	nsubj
4	se	PRON	5	expl:pv
5	enfrentará	VERB	2	acl
6	a	ADP	8	case
7	la	DET	8	det
8	pareja	NOUN	5	obj
9	Sandon	PROPN	8	appos
10	Stolle-Mark	PROPN	9	flat
11	Woodforde	PROPN	9	flat
12	será	AUX	14	cop
13	el	DET	14	det
14	formado	ADJ	0	root
15	por	ADP	17	case
16	"	PUNCT	17	punct
17	Guga	PROPN	14	obj
18	"	PUNCT	20	punct
19	y	CCONJ	20	cc
20	Jaime	PROPN	17	conj
21	Oncins	PROPN	20	flat
22	.	PUNCT	14	punct