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:
Nadie ha ganado más títulos sobre el agua que España: once oros, únicamente rebasado en el total de premios por los australianos.
Postion	Tokenization
1	Nadie
2	ha
3	ganado
4	más
5	títulos
6	sobre
7	el
8	agua
9	que
10	España
11	:
12	once
13	oros
14	,
15	únicamente
16	rebasado
17	en
18	el
19	total
20	de
21	premios
22	por
23	los
24	australianos
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Nadie	PRON	3	nsubj
2	ha	AUX	3	aux
3	ganado	VERB	0	root
4	más	ADV	5	advmod
5	títulos	NOUN	3	obj
6	sobre	ADP	8	case
7	el	DET	8	det
8	agua	NOUN	5	nmod
9	que	SCONJ	10	mark
10	España	PROPN	5	nmod
11	:	PUNCT	13	punct
12	once	NUM	13	nummod
13	oros	NOUN	3	obj
14	,	PUNCT	16	punct
15	únicamente	ADV	16	advmod
16	rebasado	ADJ	13	amod
17	en	ADP	19	case
18	el	DET	19	det
19	total	NOUN	16	obl
20	de	ADP	21	case
21	premios	NOUN	19	nmod
22	por	ADP	24	case
23	los	DET	24	det
24	australianos	NOUN	16	obj
25	.	PUNCT	3	punct