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:
Como sucede en el caso de la reproducción asistida, la tecnología electrónica corre a tal velocidad que deja a la ley y al sentido común sin aliento.
Postion	Tokenization
1	Como
2	sucede
3	en
4	el
5	caso
6	de
7	la
8	reproducción
9	asistida
10	,
11	la
12	tecnología
13	electrónica
14	corre
15	a
16	tal
17	velocidad
18	que
19	deja
20	a
21	la
22	ley
23	y
24	al
25	sentido
26	común
27	sin
28	aliento
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	2	mark
2	sucede	VERB	14	advcl
3	en	ADP	8	case
4	el	DET	3	fixed
5	caso	NOUN	3	fixed
6	de	ADP	3	fixed
7	la	DET	8	det
8	reproducción	NOUN	2	obl
9	asistida	ADJ	8	amod
10	,	PUNCT	2	punct
11	la	DET	12	det
12	tecnología	NOUN	14	nsubj
13	electrónica	ADJ	12	amod
14	corre	VERB	0	root
15	a	ADP	17	case
16	tal	DET	17	det
17	velocidad	NOUN	14	obl
18	que	SCONJ	19	mark
19	deja	VERB	17	acl
20	a	ADP	22	case
21	la	DET	22	det
22	ley	NOUN	19	obj
23	y	CCONJ	25	cc
24	al	ADP	25	case
25	sentido	NOUN	22	conj
26	común	ADJ	25	amod
27	sin	ADP	28	case
28	aliento	NOUN	19	obj
29	.	PUNCT	14	punct