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:
Se destacaron los programas conjuntos puestos en marcha, como el Fondo Indígena, con sede en Bolivia, y los programas de educación.
Postion	Tokenization
1	Se
2	destacaron
3	los
4	programas
5	conjuntos
6	puestos
7	en
8	marcha
9	,
10	como
11	el
12	Fondo
13	Indígena
14	,
15	con
16	sede
17	en
18	Bolivia
19	,
20	y
21	los
22	programas
23	de
24	educación
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:pass
2	destacaron	VERB	0	root
3	los	DET	4	det
4	programas	NOUN	2	nsubj
5	conjuntos	ADJ	4	amod
6	puestos	ADJ	4	amod
7	en	ADP	8	case
8	marcha	NOUN	6	nmod
9	,	PUNCT	12	punct
10	como	SCONJ	12	mark
11	el	DET	12	det
12	Fondo	PROPN	4	nmod
13	Indígena	PROPN	12	flat
14	,	PUNCT	16	punct
15	con	ADP	16	case
16	sede	NOUN	12	nmod
17	en	ADP	18	case
18	Bolivia	PROPN	16	nmod
19	,	PUNCT	16	punct
20	y	CCONJ	22	cc
21	los	DET	22	det
22	programas	NOUN	12	conj
23	de	ADP	24	case
24	educación	NOUN	22	nmod
25	.	PUNCT	2	punct