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:
Russell Crowe adelgazó 23 kilos rodando Gladiator, donde encarna al gladiador Maximus que da título a la película.
Postion	Tokenization
1	Russell
2	Crowe
3	adelgazó
4	23
5	kilos
6	rodando
7	Gladiator
8	,
9	donde
10	encarna
11	al
12	gladiador
13	Maximus
14	que
15	da
16	título
17	a
18	la
19	película
20	.
Position	Tokenization	UPOS	Head	Deprel
1	Russell	PROPN	3	nsubj
2	Crowe	PROPN	1	flat
3	adelgazó	VERB	0	root
4	23	NUM	5	nummod
5	kilos	NOUN	3	obj
6	rodando	VERB	3	advcl
7	Gladiator	PROPN	6	obj
8	,	PUNCT	10	punct
9	donde	PRON	10	obl
10	encarna	VERB	7	acl
11	al	ADP	12	case
12	gladiador	NOUN	10	obj
13	Maximus	PROPN	12	appos
14	que	PRON	15	nsubj
15	da	VERB	12	acl
16	título	NOUN	15	obj
17	a	ADP	19	case
18	la	DET	19	det
19	película	NOUN	15	obj
20	.	PUNCT	3	punct