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:
El consumo de café en Alemania aumentó cerca del 2 por ciento en 1999, según las estadísticas anuales de la empresa Kraft Foods de Bremen.
Postion	Tokenization
1	El
2	consumo
3	de
4	café
5	en
6	Alemania
7	aumentó
8	cerca
9	del
10	2
11	por
12	ciento
13	en
14	1999
15	,
16	según
17	las
18	estadísticas
19	anuales
20	de
21	la
22	empresa
23	Kraft
24	Foods
25	de
26	Bremen
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	consumo	NOUN	7	nsubj
3	de	ADP	4	case
4	café	NOUN	2	nmod
5	en	ADP	6	case
6	Alemania	PROPN	2	nmod
7	aumentó	VERB	0	root
8	cerca	ADV	10	advmod
9	del	ADP	8	fixed
10	2	NUM	7	obl
11	por	ADP	12	case
12	ciento	NUM	10	compound
13	en	ADP	14	case
14	1999	NOUN	7	obl
15	,	PUNCT	18	punct
16	según	ADP	18	case
17	las	DET	18	det
18	estadísticas	NOUN	7	obl
19	anuales	ADJ	18	amod
20	de	ADP	22	case
21	la	DET	22	det
22	empresa	NOUN	18	nmod
23	Kraft	PROPN	22	appos
24	Foods	PROPN	23	flat
25	de	ADP	26	case
26	Bremen	PROPN	22	nmod
27	.	PUNCT	7	punct