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:
El actor Ramon Teixidor será homenajeado el Lunes por sus compañeros de profesión en el Teatre Nacional de Catalunya, a partir de las diez de la noche.
Postion	Tokenization
1	El
2	actor
3	Ramon
4	Teixidor
5	será
6	homenajeado
7	el
8	Lunes
9	por
10	sus
11	compañeros
12	de
13	profesión
14	en
15	el
16	Teatre
17	Nacional
18	de
19	Catalunya
20	,
21	a
22	partir
23	de
24	las
25	diez
26	de
27	la
28	noche
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	actor	NOUN	6	nsubj
3	Ramon	PROPN	2	appos
4	Teixidor	PROPN	3	flat
5	será	AUX	6	aux
6	homenajeado	VERB	0	root
7	el	DET	8	det
8	Lunes	NOUN	6	obl
9	por	ADP	11	case
10	sus	DET	11	det
11	compañeros	NOUN	6	obj
12	de	ADP	13	case
13	profesión	NOUN	11	nmod
14	en	ADP	16	case
15	el	DET	16	det
16	Teatre	PROPN	6	obl
17	Nacional	PROPN	16	flat
18	de	ADP	19	case
19	Catalunya	PROPN	16	flat
20	,	PUNCT	25	punct
21	a	ADP	25	case
22	partir	NOUN	21	fixed
23	de	ADP	21	fixed
24	las	DET	25	det
25	diez	NUM	6	obl
26	de	ADP	28	case
27	la	DET	28	det
28	noche	NOUN	25	compound
29	.	PUNCT	6	punct