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:
Victoria Adams está triste porque ha perdido el diamante que adornaba el anillo de pedida que le regaló David Beckham.
Postion	Tokenization
1	Victoria
2	Adams
3	está
4	triste
5	porque
6	ha
7	perdido
8	el
9	diamante
10	que
11	adornaba
12	el
13	anillo
14	de
15	pedida
16	que
17	le
18	regaló
19	David
20	Beckham
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Victoria	PROPN	4	nsubj
2	Adams	PROPN	1	flat
3	está	AUX	4	cop
4	triste	ADJ	0	root
5	porque	SCONJ	7	mark
6	ha	AUX	7	aux
7	perdido	VERB	4	advcl
8	el	DET	9	det
9	diamante	NOUN	7	obj
10	que	PRON	11	nsubj
11	adornaba	VERB	9	acl
12	el	DET	13	det
13	anillo	NOUN	11	obj
14	de	ADP	15	case
15	pedida	NOUN	13	nmod
16	que	PRON	18	obj
17	le	PRON	18	obj
18	regaló	VERB	13	acl
19	David	PROPN	18	nsubj
20	Beckham	PROPN	19	flat
21	.	PUNCT	4	punct