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:
En Almería, mientras corre por la playa, unos paseantes no dan crédito a lo que ven sus ojos: "¿usted es...?".
Postion	Tokenization
1	En
2	Almería
3	,
4	mientras
5	corre
6	por
7	la
8	playa
9	,
10	unos
11	paseantes
12	no
13	dan
14	crédito
15	a
16	lo
17	que
18	ven
19	sus
20	ojos
21	:
22	"
23	¿
24	usted
25	es
26	...
27	?
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Almería	PROPN	13	obl
3	,	PUNCT	2	punct
4	mientras	SCONJ	5	mark
5	corre	VERB	13	advcl
6	por	ADP	8	case
7	la	DET	8	det
8	playa	NOUN	5	obl
9	,	PUNCT	5	punct
10	unos	DET	11	det
11	paseantes	NOUN	13	nsubj
12	no	ADV	13	advmod
13	dan	VERB	0	root
14	crédito	NOUN	13	compound
15	a	ADP	18	mark
16	lo	PRON	18	det
17	que	PRON	18	obj
18	ven	VERB	13	ccomp
19	sus	DET	20	det
20	ojos	NOUN	18	nsubj
21	:	PUNCT	25	punct
22	"	PUNCT	25	punct
23	¿	PUNCT	25	punct
24	usted	PRON	25	nsubj
25	es	AUX	13	advcl
26	...	PUNCT	25	punct
27	?	PUNCT	25	punct
28	"	PUNCT	25	punct
29	.	PUNCT	13	punct