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:
Basayev perdió la pierna derecha en el invierno del 2000 al cruzar un campo de minas en un intento de burlar el cerco de Grozni por las tropas federales rusas.
Postion	Tokenization
1	Basayev
2	perdió
3	la
4	pierna
5	derecha
6	en
7	el
8	invierno
9	del
10	2000
11	al
12	cruzar
13	un
14	campo
15	de
16	minas
17	en
18	un
19	intento
20	de
21	burlar
22	el
23	cerco
24	de
25	Grozni
26	por
27	las
28	tropas
29	federales
30	rusas
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Basayev	PROPN	2	nsubj
2	perdió	VERB	0	root
3	la	DET	4	det
4	pierna	NOUN	2	obj
5	derecha	ADJ	4	amod
6	en	ADP	8	case
7	el	DET	8	det
8	invierno	NOUN	2	obl
9	del	ADP	10	case
10	2000	NOUN	8	nmod
11	al	ADP	12	mark
12	cruzar	VERB	2	advcl
13	un	DET	14	det
14	campo	NOUN	12	obj
15	de	ADP	16	case
16	minas	NOUN	14	nmod
17	en	ADP	19	case
18	un	DET	19	det
19	intento	NOUN	12	obl
20	de	ADP	21	mark
21	burlar	VERB	19	acl
22	el	DET	23	det
23	cerco	NOUN	21	obj
24	de	ADP	25	case
25	Grozni	PROPN	23	nmod
26	por	ADP	28	case
27	las	DET	28	det
28	tropas	NOUN	23	nmod
29	federales	ADJ	28	amod
30	rusas	ADJ	28	amod
31	.	PUNCT	2	punct