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 ministro de Defensa, Igor Sergueyev, enfrió ayer el optimismo de la cúpula militar rusa, que esperaba finalizar la operación militar en la república rebelde para fin de año.
Postion	Tokenization
1	El
2	ministro
3	de
4	Defensa
5	,
6	Igor
7	Sergueyev
8	,
9	enfrió
10	ayer
11	el
12	optimismo
13	de
14	la
15	cúpula
16	militar
17	rusa
18	,
19	que
20	esperaba
21	finalizar
22	la
23	operación
24	militar
25	en
26	la
27	república
28	rebelde
29	para
30	fin
31	de
32	año
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ministro	NOUN	9	nsubj
3	de	ADP	4	case
4	Defensa	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Igor	PROPN	2	appos
7	Sergueyev	PROPN	6	flat
8	,	PUNCT	6	punct
9	enfrió	VERB	0	root
10	ayer	ADV	9	advmod
11	el	DET	12	det
12	optimismo	NOUN	9	obj
13	de	ADP	15	case
14	la	DET	15	det
15	cúpula	NOUN	12	nmod
16	militar	ADJ	15	amod
17	rusa	ADJ	15	amod
18	,	PUNCT	20	punct
19	que	PRON	20	nsubj
20	esperaba	VERB	15	acl
21	finalizar	VERB	20	xcomp
22	la	DET	23	det
23	operación	NOUN	21	obj
24	militar	ADJ	23	amod
25	en	ADP	27	case
26	la	DET	27	det
27	república	NOUN	23	nmod
28	rebelde	ADJ	27	amod
29	para	ADP	30	case
30	fin	NOUN	21	obl
31	de	ADP	32	case
32	año	NOUN	30	nmod
33	.	PUNCT	9	punct