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:
La Federación cumple así con lo acordado por el Consejo de la Asociación de Países Productores de Café (APPC) en la reunión del Londres el pasado 19 de mayo.
Postion	Tokenization
1	La
2	Federación
3	cumple
4	así
5	con
6	lo
7	acordado
8	por
9	el
10	Consejo
11	de
12	la
13	Asociación
14	de
15	Países
16	Productores
17	de
18	Café
19	(
20	APPC
21	)
22	en
23	la
24	reunión
25	del
26	Londres
27	el
28	pasado
29	19
30	de
31	mayo
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Federación	PROPN	3	nsubj
3	cumple	VERB	0	root
4	así	ADV	3	advmod
5	con	ADP	7	case
6	lo	PRON	7	det
7	acordado	ADJ	3	obj
8	por	ADP	10	case
9	el	DET	10	det
10	Consejo	PROPN	7	obj
11	de	ADP	13	case
12	la	DET	13	det
13	Asociación	PROPN	10	flat
14	de	ADP	15	case
15	Países	PROPN	10	flat
16	Productores	PROPN	15	flat
17	de	ADP	18	case
18	Café	PROPN	15	flat
19	(	PUNCT	20	punct
20	APPC	PROPN	10	flat
21	)	PUNCT	20	punct
22	en	ADP	24	case
23	la	DET	24	det
24	reunión	NOUN	7	obl
25	del	ADP	26	case
26	Londres	PROPN	24	nmod
27	el	DET	29	det
28	pasado	ADJ	29	amod
29	19	NUM	7	obl
30	de	ADP	31	case
31	mayo	NOUN	29	compound
32	.	PUNCT	3	punct