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:
En la apretada agenda de Insulza figuran algunos encuentros destacables, como con el presidente de la CEOE, José María Cuevas, que tienen por objeto repasar las relaciones comerciales entre ambos países.
Postion	Tokenization
1	En
2	la
3	apretada
4	agenda
5	de
6	Insulza
7	figuran
8	algunos
9	encuentros
10	destacables
11	,
12	como
13	con
14	el
15	presidente
16	de
17	la
18	CEOE
19	,
20	José
21	María
22	Cuevas
23	,
24	que
25	tienen
26	por
27	objeto
28	repasar
29	las
30	relaciones
31	comerciales
32	entre
33	ambos
34	países
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	la	DET	4	det
3	apretada	ADJ	4	amod
4	agenda	NOUN	7	obl
5	de	ADP	6	case
6	Insulza	PROPN	4	nmod
7	figuran	VERB	0	root
8	algunos	DET	9	det
9	encuentros	NOUN	7	nsubj
10	destacables	ADJ	9	amod
11	,	PUNCT	15	punct
12	como	SCONJ	15	mark
13	con	ADP	15	case
14	el	DET	15	det
15	presidente	NOUN	9	nmod
16	de	ADP	18	case
17	la	DET	18	det
18	CEOE	PROPN	15	nmod
19	,	PUNCT	20	punct
20	José	PROPN	15	appos
21	María	PROPN	20	flat
22	Cuevas	PROPN	20	flat
23	,	PUNCT	20	punct
24	que	PRON	25	nsubj
25	tienen	VERB	9	acl
26	por	ADP	27	case
27	objeto	NOUN	25	obl
28	repasar	VERB	25	xcomp
29	las	DET	30	det
30	relaciones	NOUN	28	obj
31	comerciales	ADJ	30	amod
32	entre	ADP	34	case
33	ambos	NUM	34	nummod
34	países	NOUN	30	nmod
35	.	PUNCT	7	punct