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:
De los 7,6 millones de visitas recibidas en sus primeros seis meses de vida - - un 20% por encima de las expectativas iniciales - -, 300.000 fueron de clientes efectivos.
Postion	Tokenization
1	De
2	los
3	7,6
4	millones
5	de
6	visitas
7	recibidas
8	en
9	sus
10	primeros
11	seis
12	meses
13	de
14	vida
15	-
16	-
17	un
18	20%
19	por
20	encima
21	de
22	las
23	expectativas
24	iniciales
25	-
26	-
27	,
28	300.000
29	fueron
30	de
31	clientes
32	efectivos
33	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	4	case
2	los	DET	3	det
3	7,6	NUM	4	nummod
4	millones	NOUN	31	obj
5	de	ADP	6	case
6	visitas	NOUN	4	nmod
7	recibidas	ADJ	6	amod
8	en	ADP	12	case
9	sus	DET	12	det
10	primeros	ADJ	9	amod
11	seis	NUM	9	nummod
12	meses	NOUN	7	obl
13	de	ADP	14	case
14	vida	NOUN	12	nmod
15	-	PUNCT	18	punct
16	-	PUNCT	18	punct
17	un	DET	18	det
18	20%	SYM	4	appos
19	por	ADP	23	case
20	encima	ADV	19	fixed
21	de	ADP	19	fixed
22	las	DET	23	det
23	expectativas	NOUN	18	nmod
24	iniciales	ADJ	23	amod
25	-	PUNCT	18	punct
26	-	PUNCT	18	punct
27	,	PUNCT	4	punct
28	300.000	NUM	31	nsubj
29	fueron	AUX	31	cop
30	de	ADP	31	case
31	clientes	NOUN	0	root
32	efectivos	ADJ	31	amod
33	.	PUNCT	31	punct