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:
Elsa Fernández-Santos describía en El País esa inquietante característica de la bestia que hace que "por algún extraño motivo nunca le asomen los dientes, aunque sonría".
Postion	Tokenization
1	Elsa
2	Fernández-Santos
3	describía
4	en
5	El
6	País
7	esa
8	inquietante
9	característica
10	de
11	la
12	bestia
13	que
14	hace
15	que
16	"
17	por
18	algún
19	extraño
20	motivo
21	nunca
22	le
23	asomen
24	los
25	dientes
26	,
27	aunque
28	sonría
29	"
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Elsa	PROPN	3	nsubj
2	Fernández-Santos	PROPN	1	flat
3	describía	VERB	0	root
4	en	ADP	6	case
5	El	DET	6	det
6	País	PROPN	3	obl
7	esa	DET	9	det
8	inquietante	ADJ	9	amod
9	característica	NOUN	3	obj
10	de	ADP	12	case
11	la	DET	12	det
12	bestia	NOUN	9	nmod
13	que	PRON	14	nsubj
14	hace	VERB	9	acl
15	que	SCONJ	23	mark
16	"	PUNCT	23	punct
17	por	ADP	20	case
18	algún	DET	20	det
19	extraño	ADJ	20	amod
20	motivo	NOUN	23	obl
21	nunca	ADV	23	advmod
22	le	PRON	23	obj
23	asomen	VERB	14	ccomp
24	los	DET	25	det
25	dientes	NOUN	23	nsubj
26	,	PUNCT	28	punct
27	aunque	SCONJ	28	mark
28	sonría	VERB	23	advcl
29	"	PUNCT	23	punct
30	.	PUNCT	3	punct