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:
Cándida Lasbats, su viuda, echó en cara hace una semana a Esteve Ferran, alcalde de Salou, que no se hubiese alertado del peligro.
Postion	Tokenization
1	Cándida
2	Lasbats
3	,
4	su
5	viuda
6	,
7	echó
8	en
9	cara
10	hace
11	una
12	semana
13	a
14	Esteve
15	Ferran
16	,
17	alcalde
18	de
19	Salou
20	,
21	que
22	no
23	se
24	hubiese
25	alertado
26	del
27	peligro
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Cándida	PROPN	7	nsubj
2	Lasbats	PROPN	1	flat
3	,	PUNCT	5	punct
4	su	DET	5	det
5	viuda	NOUN	1	appos
6	,	PUNCT	5	punct
7	echó	VERB	0	root
8	en	ADP	9	case
9	cara	NOUN	7	compound
10	hace	VERB	7	advcl
11	una	DET	12	det
12	semana	NOUN	10	obj
13	a	ADP	14	case
14	Esteve	PROPN	7	iobj
15	Ferran	PROPN	14	flat
16	,	PUNCT	17	punct
17	alcalde	NOUN	14	appos
18	de	ADP	19	case
19	Salou	PROPN	17	nmod
20	,	PUNCT	17	punct
21	que	SCONJ	25	mark
22	no	ADV	25	advmod
23	se	PRON	25	expl:impers
24	hubiese	AUX	25	aux
25	alertado	VERB	7	ccomp
26	del	ADP	27	case
27	peligro	NOUN	25	obj
28	.	PUNCT	7	punct