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:
Cayeron uno a uno los delfines, Serra está al caer y parece que Felipe González está pensando en nombrar otro vicepresidente cuando retoque el Gobierno.
Postion	Tokenization
1	Cayeron
2	uno
3	a
4	uno
5	los
6	delfines
7	,
8	Serra
9	está
10	al
11	caer
12	y
13	parece
14	que
15	Felipe
16	González
17	está
18	pensando
19	en
20	nombrar
21	otro
22	vicepresidente
23	cuando
24	retoque
25	el
26	Gobierno
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Cayeron	VERB	0	root
2	uno	NOUN	1	advmod
3	a	ADP	2	fixed
4	uno	NOUN	2	fixed
5	los	DET	6	det
6	delfines	NOUN	1	nsubj
7	,	PUNCT	9	punct
8	Serra	PROPN	9	nsubj
9	está	VERB	1	advcl
10	al	ADP	11	case
11	caer	NOUN	9	compound
12	y	CCONJ	13	cc
13	parece	VERB	1	conj
14	que	SCONJ	18	mark
15	Felipe	PROPN	18	nsubj
16	González	PROPN	15	flat
17	está	AUX	18	aux
18	pensando	VERB	13	ccomp
19	en	ADP	20	mark
20	nombrar	VERB	18	xcomp
21	otro	DET	22	det
22	vicepresidente	NOUN	20	obj
23	cuando	SCONJ	24	mark
24	retoque	VERB	18	advcl
25	el	DET	26	det
26	Gobierno	PROPN	24	obj
27	.	PUNCT	1	punct