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:
Alberto Sordi observó desde un rincón, silencioso y desencajado, el cadáver del actor, al que vistieron con un traje oscuro y una corbata con ballenas amarillas.
Postion	Tokenization
1	Alberto
2	Sordi
3	observó
4	desde
5	un
6	rincón
7	,
8	silencioso
9	y
10	desencajado
11	,
12	el
13	cadáver
14	del
15	actor
16	,
17	al
18	que
19	vistieron
20	con
21	un
22	traje
23	oscuro
24	y
25	una
26	corbata
27	con
28	ballenas
29	amarillas
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Alberto	PROPN	3	nsubj
2	Sordi	PROPN	1	flat
3	observó	VERB	0	root
4	desde	ADP	6	case
5	un	DET	6	det
6	rincón	NOUN	3	obl
7	,	PUNCT	8	punct
8	silencioso	ADJ	3	obj
9	y	CCONJ	10	cc
10	desencajado	ADJ	8	conj
11	,	PUNCT	8	punct
12	el	DET	13	det
13	cadáver	NOUN	3	obj
14	del	ADP	15	case
15	actor	NOUN	13	nmod
16	,	PUNCT	19	punct
17	al	ADP	18	case
18	que	PRON	19	obj
19	vistieron	VERB	13	acl
20	con	ADP	22	case
21	un	DET	22	det
22	traje	NOUN	19	obj
23	oscuro	ADJ	22	amod
24	y	CCONJ	26	cc
25	una	DET	26	det
26	corbata	NOUN	22	conj
27	con	ADP	28	case
28	ballenas	NOUN	26	nmod
29	amarillas	ADJ	28	amod
30	.	PUNCT	3	punct