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:
Reflexionemos sobre otro aspecto que ahora se comprende mucho mejor y puede ayudar si hacemos una analogía.
Postion	Tokenization
1	Reflexionemos
2	sobre
3	otro
4	aspecto
5	que
6	ahora
7	se
8	comprende
9	mucho
10	mejor
11	y
12	puede
13	ayudar
14	si
15	hacemos
16	una
17	analogía
18	.
Position	Tokenization	UPOS	Head	Deprel
1	Reflexionemos	VERB	0	root
2	sobre	ADP	4	case
3	otro	DET	4	det
4	aspecto	NOUN	1	obl
5	que	PRON	8	nsubj
6	ahora	ADV	8	advmod
7	se	PRON	8	expl:pass
8	comprende	VERB	4	acl
9	mucho	ADV	10	advmod
10	mejor	ADJ	8	advmod
11	y	CCONJ	13	cc
12	puede	AUX	13	aux
13	ayudar	VERB	8	conj
14	si	SCONJ	15	mark
15	hacemos	VERB	13	advcl
16	una	DET	17	det
17	analogía	NOUN	15	obj
18	.	PUNCT	1	punct