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:
Stefania Sandrelli, compañera de plató y de aventuras de Gassman, tocó el féretro y cayó casi desvanecida al suelo, estallando en sollozos.
Postion	Tokenization
1	Stefania
2	Sandrelli
3	,
4	compañera
5	de
6	plató
7	y
8	de
9	aventuras
10	de
11	Gassman
12	,
13	tocó
14	el
15	féretro
16	y
17	cayó
18	casi
19	desvanecida
20	al
21	suelo
22	,
23	estallando
24	en
25	sollozos
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Stefania	PROPN	13	nsubj
2	Sandrelli	PROPN	1	flat
3	,	PUNCT	4	punct
4	compañera	NOUN	1	appos
5	de	ADP	6	case
6	plató	NOUN	4	nmod
7	y	CCONJ	9	cc
8	de	ADP	9	case
9	aventuras	NOUN	6	conj
10	de	ADP	11	case
11	Gassman	PROPN	4	nmod
12	,	PUNCT	4	punct
13	tocó	VERB	0	root
14	el	DET	15	det
15	féretro	NOUN	13	obj
16	y	CCONJ	17	cc
17	cayó	VERB	13	conj
18	casi	ADV	19	advmod
19	desvanecida	ADJ	17	obj
20	al	ADP	21	case
21	suelo	NOUN	17	obl
22	,	PUNCT	23	punct
23	estallando	VERB	17	advcl
24	en	ADP	25	case
25	sollozos	NOUN	23	obj
26	.	PUNCT	13	punct