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:
Juan Carlos Ferrero y Francisco Clavet, las dos últimas esperanzas del tenis español masculino en el Abierto de Australia, fueron eliminados hoy en la tercera ronda.
Postion	Tokenization
1	Juan
2	Carlos
3	Ferrero
4	y
5	Francisco
6	Clavet
7	,
8	las
9	dos
10	últimas
11	esperanzas
12	del
13	tenis
14	español
15	masculino
16	en
17	el
18	Abierto
19	de
20	Australia
21	,
22	fueron
23	eliminados
24	hoy
25	en
26	la
27	tercera
28	ronda
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Juan	PROPN	23	nsubj
2	Carlos	PROPN	1	flat
3	Ferrero	PROPN	1	flat
4	y	CCONJ	5	cc
5	Francisco	PROPN	1	conj
6	Clavet	PROPN	5	flat
7	,	PUNCT	11	punct
8	las	DET	11	det
9	dos	NUM	8	nummod
10	últimas	ADJ	11	amod
11	esperanzas	NOUN	1	appos
12	del	ADP	13	case
13	tenis	NOUN	11	nmod
14	español	ADJ	13	amod
15	masculino	ADJ	13	amod
16	en	ADP	18	case
17	el	DET	18	det
18	Abierto	PROPN	11	nmod
19	de	ADP	20	case
20	Australia	PROPN	18	nmod
21	,	PUNCT	11	punct
22	fueron	AUX	23	aux
23	eliminados	VERB	0	root
24	hoy	ADV	23	advmod
25	en	ADP	28	case
26	la	DET	28	det
27	tercera	ADJ	28	amod
28	ronda	NOUN	23	obl
29	.	PUNCT	23	punct