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 jefe de Estado Mayor del Ejército ruso, Anatoli Kvashnin, lo dio ayer por muerto, aunque reconoció que su cadáver no había sido localizado.
Postion	Tokenization
1	El
2	jefe
3	de
4	Estado
5	Mayor
6	del
7	Ejército
8	ruso
9	,
10	Anatoli
11	Kvashnin
12	,
13	lo
14	dio
15	ayer
16	por
17	muerto
18	,
19	aunque
20	reconoció
21	que
22	su
23	cadáver
24	no
25	había
26	sido
27	localizado
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	jefe	NOUN	14	nsubj
3	de	ADP	4	case
4	Estado	PROPN	2	nmod
5	Mayor	PROPN	4	flat
6	del	ADP	7	case
7	Ejército	PROPN	4	nmod
8	ruso	ADJ	7	amod
9	,	PUNCT	10	punct
10	Anatoli	PROPN	2	appos
11	Kvashnin	PROPN	10	flat
12	,	PUNCT	10	punct
13	lo	PRON	14	obj
14	dio	VERB	0	root
15	ayer	ADV	14	advmod
16	por	ADP	17	case
17	muerto	ADJ	14	obl
18	,	PUNCT	20	punct
19	aunque	SCONJ	20	mark
20	reconoció	VERB	14	advcl
21	que	SCONJ	27	mark
22	su	DET	23	det
23	cadáver	NOUN	27	nsubj
24	no	ADV	27	advmod
25	había	AUX	27	aux
26	sido	AUX	27	aux
27	localizado	VERB	20	ccomp
28	.	PUNCT	14	punct