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:
"Es que tengo una consulta programada para someterme a un tratamiento para alinear mis dientes", dijo recientemente en una charla con periodistas.
Postion	Tokenization
1	"
2	Es
3	que
4	tengo
5	una
6	consulta
7	programada
8	para
9	someterme
10	someter
11	me
12	a
13	un
14	tratamiento
15	para
16	alinear
17	mis
18	dientes
19	"
20	,
21	dijo
22	recientemente
23	en
24	una
25	charla
26	con
27	periodistas
28	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Es	AUX	20	ccomp
3	que	SCONJ	4	mark
4	tengo	VERB	2	ccomp
5	una	DET	6	det
6	consulta	NOUN	4	obj
7	programada	ADJ	6	amod
8	para	ADP	9	mark
9	someterme	_	None	_
10	someter	VERB	4	advcl
11	me	PRON	9	obj
12	a	ADP	13	case
13	un	DET	13	det
14	tratamiento	NOUN	9	obj
15	para	ADP	15	mark
16	alinear	VERB	13	acl
17	mis	DET	17	det
18	dientes	NOUN	15	obj
19	"	PUNCT	2	punct
20	,	PUNCT	2	punct
21	dijo	VERB	0	root
22	recientemente	ADV	20	advmod
23	en	ADP	24	case
24	una	DET	24	det
25	charla	NOUN	20	obl
26	con	ADP	26	case
27	periodistas	NOUN	24	nmod
28	.	PUNCT	20	punct