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:
Aproximadamente un millar de esos pacientes acudieron, por medio de mutuas, a siete centros privados - - Quirón, Sagrada Familia, Corachán, Sagrado Corazón, Teknon, Sant Jordi y Hospital de Barcelona - -.
Postion	Tokenization
1	Aproximadamente
2	un
3	millar
4	de
5	esos
6	pacientes
7	acudieron
8	,
9	por
10	medio
11	de
12	mutuas
13	,
14	a
15	siete
16	centros
17	privados
18	-
19	-
20	Quirón
21	,
22	Sagrada
23	Familia
24	,
25	Corachán
26	,
27	Sagrado
28	Corazón
29	,
30	Teknon
31	,
32	Sant
33	Jordi
34	y
35	Hospital
36	de
37	Barcelona
38	-
39	-
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Aproximadamente	ADV	3	advmod
2	un	DET	3	det
3	millar	NOUN	7	nsubj
4	de	ADP	6	case
5	esos	DET	6	det
6	pacientes	NOUN	3	nmod
7	acudieron	VERB	0	root
8	,	PUNCT	12	punct
9	por	ADP	12	case
10	medio	NOUN	9	fixed
11	de	ADP	9	fixed
12	mutuas	NOUN	7	obl
13	,	PUNCT	12	punct
14	a	ADP	16	case
15	siete	NUM	16	nummod
16	centros	NOUN	7	obl
17	privados	ADJ	16	amod
18	-	PUNCT	20	punct
19	-	PUNCT	20	punct
20	Quirón	PROPN	16	appos
21	,	PUNCT	22	punct
22	Sagrada	PROPN	20	conj
23	Familia	PROPN	22	flat
24	,	PUNCT	25	punct
25	Corachán	PROPN	20	conj
26	,	PUNCT	27	punct
27	Sagrado	PROPN	20	conj
28	Corazón	PROPN	27	flat
29	,	PUNCT	30	punct
30	Teknon	PROPN	20	conj
31	,	PUNCT	32	punct
32	Sant	PROPN	20	conj
33	Jordi	PROPN	32	flat
34	y	CCONJ	35	cc
35	Hospital	PROPN	20	conj
36	de	ADP	37	case
37	Barcelona	PROPN	35	flat
38	-	PUNCT	7	punct
39	-	PUNCT	7	punct
40	.	PUNCT	7	punct