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:
Esta ha lanzado al mercado algunos programas, como el SimLife y el SimAnt, diseñados con las técnicas más revolucionarias de esta nueva ciencia.
Postion	Tokenization
1	Esta
2	ha
3	lanzado
4	al
5	mercado
6	algunos
7	programas
8	,
9	como
10	el
11	SimLife
12	y
13	el
14	SimAnt
15	,
16	diseñados
17	con
18	las
19	técnicas
20	más
21	revolucionarias
22	de
23	esta
24	nueva
25	ciencia
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Esta	PRON	3	nsubj
2	ha	AUX	3	aux
3	lanzado	VERB	0	root
4	al	ADP	5	case
5	mercado	NOUN	3	obl
6	algunos	DET	7	det
7	programas	NOUN	3	obj
8	,	PUNCT	11	punct
9	como	SCONJ	11	mark
10	el	DET	11	det
11	SimLife	PROPN	7	nmod
12	y	CCONJ	14	cc
13	el	DET	14	det
14	SimAnt	PROPN	11	conj
15	,	PUNCT	11	punct
16	diseñados	ADJ	7	amod
17	con	ADP	19	case
18	las	DET	19	det
19	técnicas	NOUN	16	obl
20	más	ADV	21	advmod
21	revolucionarias	ADJ	19	amod
22	de	ADP	25	case
23	esta	DET	25	det
24	nueva	ADJ	25	amod
25	ciencia	NOUN	19	nmod
26	.	PUNCT	3	punct