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:
Los mayores bebedores de café en Europa siguen siendo los escandinavos con cerca de 12 kilos por persona mientras que los más reservados son los portugueses con apenas 4,1 kilos por cabeza al año.
Postion	Tokenization
1	Los
2	mayores
3	bebedores
4	de
5	café
6	en
7	Europa
8	siguen
9	siendo
10	los
11	escandinavos
12	con
13	cerca
14	de
15	12
16	kilos
17	por
18	persona
19	mientras
20	que
21	los
22	más
23	reservados
24	son
25	los
26	portugueses
27	con
28	apenas
29	4,1
30	kilos
31	por
32	cabeza
33	al
34	año
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	mayores	ADJ	3	amod
3	bebedores	NOUN	8	nsubj
4	de	ADP	5	case
5	café	NOUN	3	nmod
6	en	ADP	7	case
7	Europa	PROPN	3	nmod
8	siguen	VERB	19	parataxis
9	siendo	AUX	11	cop
10	los	DET	11	det
11	escandinavos	NOUN	8	xcomp
12	con	ADP	16	case
13	cerca	ADV	16	advmod
14	de	ADP	13	fixed
15	12	NUM	16	nummod
16	kilos	NOUN	8	obl
17	por	ADP	18	case
18	persona	NOUN	16	nmod
19	mientras	CCONJ	0	root
20	que	SCONJ	19	fixed
21	los	DET	23	det
22	más	ADV	23	advmod
23	reservados	ADJ	26	nsubj
24	son	AUX	26	cop
25	los	DET	26	det
26	portugueses	NOUN	19	parataxis
27	con	ADP	30	case
28	apenas	ADV	30	advmod
29	4,1	NUM	30	nummod
30	kilos	NOUN	26	obl
31	por	ADP	32	case
32	cabeza	NOUN	30	nmod
33	al	ADP	34	case
34	año	NOUN	30	nmod
35	.	PUNCT	19	punct