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:
"Echaré de menos al maestro, pero sobre todo me faltará mi padre", dijo él, también actor y fruto de la unión de Gassman con la actriz Juliette Maynel.
Postion	Tokenization
1	"
2	Echaré
3	de
4	menos
5	al
6	maestro
7	,
8	pero
9	sobre
10	todo
11	me
12	faltará
13	mi
14	padre
15	"
16	,
17	dijo
18	él
19	,
20	también
21	actor
22	y
23	fruto
24	de
25	la
26	unión
27	de
28	Gassman
29	con
30	la
31	actriz
32	Juliette
33	Maynel
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Echaré	VERB	17	ccomp
3	de	ADP	4	case
4	menos	NOUN	2	compound
5	al	ADP	6	case
6	maestro	NOUN	2	obj
7	,	PUNCT	12	punct
8	pero	CCONJ	12	cc
9	sobre	ADP	12	advmod
10	todo	PRON	9	fixed
11	me	PRON	12	iobj
12	faltará	VERB	2	conj
13	mi	DET	14	det
14	padre	NOUN	12	nsubj
15	"	PUNCT	2	punct
16	,	PUNCT	2	punct
17	dijo	VERB	0	root
18	él	PRON	17	nsubj
19	,	PUNCT	21	punct
20	también	ADV	21	advmod
21	actor	NOUN	18	appos
22	y	CCONJ	23	cc
23	fruto	NOUN	21	conj
24	de	ADP	26	case
25	la	DET	26	det
26	unión	NOUN	23	nmod
27	de	ADP	28	case
28	Gassman	PROPN	26	nmod
29	con	ADP	31	case
30	la	DET	31	det
31	actriz	NOUN	26	nmod
32	Juliette	PROPN	31	appos
33	Maynel	PROPN	32	flat
34	.	PUNCT	17	punct