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:
Este fue relevado de su cargo en el momento en que investigaba asuntos de corrupción entre familiares de Yeltsin y altos funcionarios del Kremlin.
Postion	Tokenization
1	Este
2	fue
3	relevado
4	de
5	su
6	cargo
7	en
8	el
9	momento
10	en
11	que
12	investigaba
13	asuntos
14	de
15	corrupción
16	entre
17	familiares
18	de
19	Yeltsin
20	y
21	altos
22	funcionarios
23	del
24	Kremlin
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	PRON	3	nsubj
2	fue	AUX	3	aux
3	relevado	VERB	0	root
4	de	ADP	6	case
5	su	DET	6	det
6	cargo	NOUN	3	obl
7	en	ADP	9	case
8	el	DET	9	det
9	momento	NOUN	3	obl
10	en	ADP	11	case
11	que	PRON	12	obl
12	investigaba	VERB	9	acl
13	asuntos	NOUN	12	obj
14	de	ADP	15	case
15	corrupción	NOUN	13	nmod
16	entre	ADP	17	case
17	familiares	NOUN	13	nmod
18	de	ADP	19	case
19	Yeltsin	PROPN	17	nmod
20	y	CCONJ	22	cc
21	altos	ADJ	22	amod
22	funcionarios	NOUN	17	conj
23	del	ADP	24	case
24	Kremlin	PROPN	22	nmod
25	.	PUNCT	3	punct