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:
Hace dos años la federación inició estudios para estructurar el proyecto de venta directa de café liofilizado al consumidor a través de grandes cadenas de supermercados.
Postion	Tokenization
1	Hace
2	dos
3	años
4	la
5	federación
6	inició
7	estudios
8	para
9	estructurar
10	el
11	proyecto
12	de
13	venta
14	directa
15	de
16	café
17	liofilizado
18	al
19	consumidor
20	a
21	través
22	de
23	grandes
24	cadenas
25	de
26	supermercados
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Hace	VERB	6	advcl
2	dos	NUM	3	nummod
3	años	NOUN	1	obj
4	la	DET	5	det
5	federación	NOUN	6	nsubj
6	inició	VERB	0	root
7	estudios	NOUN	6	obj
8	para	ADP	9	mark
9	estructurar	VERB	7	acl
10	el	DET	11	det
11	proyecto	NOUN	9	obj
12	de	ADP	13	case
13	venta	NOUN	11	nmod
14	directa	ADJ	13	amod
15	de	ADP	16	case
16	café	NOUN	13	nmod
17	liofilizado	ADJ	16	amod
18	al	ADP	19	case
19	consumidor	NOUN	13	nmod
20	a	ADP	24	case
21	través	NOUN	20	fixed
22	de	ADP	20	fixed
23	grandes	ADJ	24	amod
24	cadenas	NOUN	13	nmod
25	de	ADP	26	case
26	supermercados	NOUN	24	nmod
27	.	PUNCT	6	punct