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:
Con el lema "La educación como base para el desarrollo", se aprobaron trece programas de cooperación educativa, materia esencial para consolidar la democracia y lograr el desarrollo social.
Postion	Tokenization
1	Con
2	el
3	lema
4	"
5	La
6	educación
7	como
8	base
9	para
10	el
11	desarrollo
12	"
13	,
14	se
15	aprobaron
16	trece
17	programas
18	de
19	cooperación
20	educativa
21	,
22	materia
23	esencial
24	para
25	consolidar
26	la
27	democracia
28	y
29	lograr
30	el
31	desarrollo
32	social
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	el	DET	3	det
3	lema	NOUN	15	obl
4	"	PUNCT	6	punct
5	La	DET	6	det
6	educación	NOUN	3	appos
7	como	SCONJ	8	mark
8	base	NOUN	6	nmod
9	para	ADP	11	case
10	el	DET	11	det
11	desarrollo	NOUN	8	nmod
12	"	PUNCT	6	punct
13	,	PUNCT	3	punct
14	se	PRON	15	expl:pass
15	aprobaron	VERB	0	root
16	trece	NUM	17	nummod
17	programas	NOUN	15	nsubj
18	de	ADP	19	case
19	cooperación	NOUN	17	nmod
20	educativa	ADJ	19	amod
21	,	PUNCT	22	punct
22	materia	NOUN	19	appos
23	esencial	ADJ	22	amod
24	para	ADP	25	mark
25	consolidar	VERB	22	acl
26	la	DET	27	det
27	democracia	NOUN	25	obj
28	y	CCONJ	29	cc
29	lograr	VERB	25	conj
30	el	DET	31	det
31	desarrollo	NOUN	29	obj
32	social	ADJ	31	amod
33	.	PUNCT	15	punct