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:
Fergie, EX nuera de la reina Isabel II, fue recibida entre ovaciones y paseó llevando en la mano un balón hinchable que representaba los kilos que ha perdido personalmente.
Postion	Tokenization
1	Fergie
2	,
3	EX
4	nuera
5	de
6	la
7	reina
8	Isabel
9	II
10	,
11	fue
12	recibida
13	entre
14	ovaciones
15	y
16	paseó
17	llevando
18	en
19	la
20	mano
21	un
22	balón
23	hinchable
24	que
25	representaba
26	los
27	kilos
28	que
29	ha
30	perdido
31	personalmente
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Fergie	PROPN	12	nsubj
2	,	PUNCT	4	punct
3	EX	ADJ	4	amod
4	nuera	NOUN	1	appos
5	de	ADP	7	case
6	la	DET	7	det
7	reina	NOUN	4	nmod
8	Isabel	PROPN	7	appos
9	II	PROPN	8	flat
10	,	PUNCT	4	punct
11	fue	AUX	12	aux
12	recibida	VERB	0	root
13	entre	ADP	14	case
14	ovaciones	NOUN	12	obl
15	y	CCONJ	16	cc
16	paseó	VERB	12	conj
17	llevando	VERB	16	advcl
18	en	ADP	20	case
19	la	DET	20	det
20	mano	NOUN	17	obl
21	un	DET	22	det
22	balón	NOUN	17	obj
23	hinchable	ADJ	22	amod
24	que	PRON	25	nsubj
25	representaba	VERB	22	acl
26	los	DET	27	det
27	kilos	NOUN	25	obj
28	que	PRON	30	obj
29	ha	AUX	30	aux
30	perdido	VERB	27	acl
31	personalmente	ADV	30	advmod
32	.	PUNCT	12	punct