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:
Me consta que se hicieron algunas consultas, pero a la luz de los resultados está claro que no se acertó en la estrategia.
Postion	Tokenization
1	Me
2	consta
3	que
4	se
5	hicieron
6	algunas
7	consultas
8	,
9	pero
10	a
11	la
12	luz
13	de
14	los
15	resultados
16	está
17	claro
18	que
19	no
20	se
21	acertó
22	en
23	la
24	estrategia
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Me	PRON	2	iobj
2	consta	VERB	0	root
3	que	SCONJ	5	mark
4	se	PRON	5	expl:pass
5	hicieron	VERB	2	csubj
6	algunas	DET	7	det
7	consultas	NOUN	5	nsubj
8	,	PUNCT	17	punct
9	pero	CCONJ	17	cc
10	a	ADP	12	case
11	la	DET	12	det
12	luz	NOUN	17	obl
13	de	ADP	15	case
14	los	DET	15	det
15	resultados	NOUN	12	nmod
16	está	AUX	17	cop
17	claro	ADV	2	conj
18	que	SCONJ	21	mark
19	no	ADV	21	advmod
20	se	PRON	21	expl:impers
21	acertó	VERB	17	csubj
22	en	ADP	24	case
23	la	DET	24	det
24	estrategia	NOUN	21	obl
25	.	PUNCT	2	punct