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:
Hernández recordó, además, que los considerados desertores del Ejército no se han beneficiado de la medida, al aplicárseles les el Código Militar.
Postion	Tokenization
1	Hernández
2	recordó
3	,
4	además
5	,
6	que
7	los
8	considerados
9	desertores
10	del
11	Ejército
12	no
13	se
14	han
15	beneficiado
16	de
17	la
18	medida
19	,
20	al
21	aplicárseles
22	aplicar
23	se
24	les
25	el
26	Código
27	Militar
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Hernández	PROPN	2	nsubj
2	recordó	VERB	0	root
3	,	PUNCT	4	punct
4	además	ADV	2	advmod
5	,	PUNCT	4	punct
6	que	SCONJ	15	mark
7	los	DET	9	det
8	considerados	ADJ	9	amod
9	desertores	NOUN	15	nsubj
10	del	ADP	11	case
11	Ejército	PROPN	9	nmod
12	no	ADV	15	advmod
13	se	PRON	15	expl:pv
14	han	AUX	15	aux
15	beneficiado	VERB	2	ccomp
16	de	ADP	18	case
17	la	DET	18	det
18	medida	NOUN	15	obj
19	,	PUNCT	21	punct
20	al	ADP	21	mark
21	aplicárseles	_	None	_
22	aplicar	VERB	15	advcl
23	se	PRON	21	expl:pass
24	les	PRON	21	iobj
25	el	DET	25	det
26	Código	PROPN	21	obj
27	Militar	PROPN	25	flat
28	.	PUNCT	2	punct