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:
Lo hizo en el Gran Teatre del Liceu, formando parte de la Compañía del Teatro Español de Madrid, que dirigía Miguel Narros.
Postion	Tokenization
1	Lo
2	hizo
3	en
4	el
5	Gran
6	Teatre
7	del
8	Liceu
9	,
10	formando
11	parte
12	de
13	la
14	Compañía
15	del
16	Teatro
17	Español
18	de
19	Madrid
20	,
21	que
22	dirigía
23	Miguel
24	Narros
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	2	obj
2	hizo	VERB	0	root
3	en	ADP	5	case
4	el	DET	5	det
5	Gran	ADJ	2	obl
6	Teatre	PROPN	5	flat
7	del	ADP	8	case
8	Liceu	PROPN	5	flat
9	,	PUNCT	10	punct
10	formando	VERB	2	advcl
11	parte	NOUN	10	compound
12	de	ADP	14	case
13	la	DET	14	det
14	Compañía	PROPN	10	obj
15	del	ADP	16	case
16	Teatro	PROPN	14	flat
17	Español	PROPN	16	flat
18	de	ADP	19	case
19	Madrid	PROPN	16	flat
20	,	PUNCT	22	punct
21	que	PRON	22	obj
22	dirigía	VERB	14	acl
23	Miguel	PROPN	22	nsubj
24	Narros	PROPN	23	flat
25	.	PUNCT	2	punct