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:
Durante el presente ejercicio se esperan más de cuatro millones de visitantes, de los que su mayor parte procederá de la Comunidad de Madrid.
Postion	Tokenization
1	Durante
2	el
3	presente
4	ejercicio
5	se
6	esperan
7	más
8	de
9	cuatro
10	millones
11	de
12	visitantes
13	,
14	de
15	los
16	que
17	su
18	mayor
19	parte
20	procederá
21	de
22	la
23	Comunidad
24	de
25	Madrid
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Durante	ADP	4	case
2	el	DET	4	det
3	presente	ADJ	4	amod
4	ejercicio	NOUN	6	obl
5	se	PRON	6	expl:pass
6	esperan	VERB	0	root
7	más	ADV	10	advmod
8	de	ADP	7	case
9	cuatro	NUM	7	nummod
10	millones	NOUN	6	nsubj
11	de	ADP	12	case
12	visitantes	NOUN	10	nmod
13	,	PUNCT	20	punct
14	de	ADP	16	case
15	los	DET	16	det
16	que	PRON	20	obj
17	su	DET	19	det
18	mayor	ADJ	19	amod
19	parte	NOUN	20	nsubj
20	procederá	VERB	10	acl
21	de	ADP	23	case
22	la	DET	23	det
23	Comunidad	PROPN	20	obj
24	de	ADP	25	case
25	Madrid	PROPN	23	flat
26	.	PUNCT	6	punct