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 este porcentaje se incluyen los estudiantes de Guadalajara y de otras provincias castellanas que, por cercanía, en su práctica totalidad estudian en Madrid.
Postion	Tokenization
1	En
2	este
3	porcentaje
4	se
5	incluyen
6	los
7	estudiantes
8	de
9	Guadalajara
10	y
11	de
12	otras
13	provincias
14	castellanas
15	que
16	,
17	por
18	cercanía
19	,
20	en
21	su
22	práctica
23	totalidad
24	estudian
25	en
26	Madrid
27	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	este	DET	3	det
3	porcentaje	NOUN	5	obl
4	se	PRON	5	expl:pass
5	incluyen	VERB	0	root
6	los	DET	7	det
7	estudiantes	NOUN	5	nsubj
8	de	ADP	9	case
9	Guadalajara	PROPN	7	nmod
10	y	CCONJ	13	cc
11	de	ADP	13	case
12	otras	DET	13	det
13	provincias	NOUN	9	conj
14	castellanas	ADJ	13	amod
15	que	PRON	24	nsubj
16	,	PUNCT	18	punct
17	por	ADP	18	case
18	cercanía	NOUN	24	obl
19	,	PUNCT	18	punct
20	en	ADP	23	case
21	su	DET	23	det
22	práctica	ADJ	23	amod
23	totalidad	NOUN	24	obl
24	estudian	VERB	7	acl
25	en	ADP	26	case
26	Madrid	PROPN	24	obl
27	.	PUNCT	5	punct