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:
Al mismo tiempo que se registraban esos gestos de cordialidad, un atentado en la parte de Cachemira administrada por la India causó un muerto y una veintena de heridos.
Postion	Tokenization
1	Al
2	mismo
3	tiempo
4	que
5	se
6	registraban
7	esos
8	gestos
9	de
10	cordialidad
11	,
12	un
13	atentado
14	en
15	la
16	parte
17	de
18	Cachemira
19	administrada
20	por
21	la
22	India
23	causó
24	un
25	muerto
26	y
27	una
28	veintena
29	de
30	heridos
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	6	mark
2	mismo	ADJ	1	fixed
3	tiempo	NOUN	1	fixed
4	que	SCONJ	1	fixed
5	se	PRON	6	expl:pass
6	registraban	VERB	23	advcl
7	esos	DET	8	det
8	gestos	NOUN	6	nsubj
9	de	ADP	10	case
10	cordialidad	NOUN	8	nmod
11	,	PUNCT	6	punct
12	un	DET	13	det
13	atentado	NOUN	23	nsubj
14	en	ADP	16	case
15	la	DET	16	det
16	parte	NOUN	13	nmod
17	de	ADP	18	case
18	Cachemira	PROPN	16	nmod
19	administrada	ADJ	16	amod
20	por	ADP	22	case
21	la	DET	22	det
22	India	PROPN	19	obj
23	causó	VERB	0	root
24	un	DET	25	det
25	muerto	NOUN	23	obj
26	y	CCONJ	28	cc
27	una	DET	28	det
28	veintena	NOUN	25	conj
29	de	ADP	30	case
30	heridos	NOUN	28	nmod
31	.	PUNCT	23	punct