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:
El principal reproche que se hace al nuevo sistema es que las elecciones a rector se asemejaran a los comicios políticos como dos gotas de agua.
Postion	Tokenization
1	El
2	principal
3	reproche
4	que
5	se
6	hace
7	al
8	nuevo
9	sistema
10	es
11	que
12	las
13	elecciones
14	a
15	rector
16	se
17	asemejaran
18	a
19	los
20	comicios
21	políticos
22	como
23	dos
24	gotas
25	de
26	agua
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	principal	ADJ	3	amod
3	reproche	NOUN	10	nsubj
4	que	PRON	6	obj
5	se	PRON	6	expl:pass
6	hace	VERB	3	acl
7	al	ADP	9	case
8	nuevo	ADJ	9	amod
9	sistema	NOUN	6	obj
10	es	AUX	0	root
11	que	SCONJ	17	mark
12	las	DET	13	det
13	elecciones	NOUN	17	nsubj
14	a	ADP	15	case
15	rector	NOUN	13	nmod
16	se	PRON	17	expl:pv
17	asemejaran	VERB	10	ccomp
18	a	ADP	20	case
19	los	DET	20	det
20	comicios	NOUN	17	obj
21	políticos	ADJ	20	amod
22	como	SCONJ	24	mark
23	dos	NUM	24	nummod
24	gotas	NOUN	17	obl
25	de	ADP	26	case
26	agua	NOUN	24	nmod
27	.	PUNCT	10	punct