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:
Al año siguiente, la compañía de Madrid volvió al teatro de Montjuïc (Festivales de España) con dos obras: Medida por Medida, de Shakespeare, y Las mocedades del Cid, de Guillén de Castro, con Ana Belén en el reparto.
Postion	Tokenization
1	Al
2	año
3	siguiente
4	,
5	la
6	compañía
7	de
8	Madrid
9	volvió
10	al
11	teatro
12	de
13	Montjuïc
14	(
15	Festivales
16	de
17	España
18	)
19	con
20	dos
21	obras
22	:
23	Medida
24	por
25	Medida
26	,
27	de
28	Shakespeare
29	,
30	y
31	Las
32	mocedades
33	del
34	Cid
35	,
36	de
37	Guillén
38	de
39	Castro
40	,
41	con
42	Ana
43	Belén
44	en
45	el
46	reparto
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	2	case
2	año	NOUN	9	obl
3	siguiente	ADJ	2	amod
4	,	PUNCT	2	punct
5	la	DET	6	det
6	compañía	NOUN	9	nsubj
7	de	ADP	8	case
8	Madrid	PROPN	6	nmod
9	volvió	VERB	0	root
10	al	ADP	11	case
11	teatro	NOUN	9	obl
12	de	ADP	13	case
13	Montjuïc	PROPN	11	nmod
14	(	PUNCT	15	punct
15	Festivales	PROPN	9	dep
16	de	ADP	17	case
17	España	PROPN	15	flat
18	)	PUNCT	15	punct
19	con	ADP	21	case
20	dos	NUM	21	nummod
21	obras	NOUN	9	obl
22	:	PUNCT	23	punct
23	Medida	PROPN	21	appos
24	por	ADP	25	case
25	Medida	PROPN	23	flat
26	,	PUNCT	28	punct
27	de	ADP	28	case
28	Shakespeare	PROPN	23	nmod
29	,	PUNCT	28	punct
30	y	CCONJ	32	cc
31	Las	DET	32	det
32	mocedades	PROPN	23	conj
33	del	ADP	34	case
34	Cid	PROPN	31	flat
35	,	PUNCT	37	punct
36	de	ADP	37	case
37	Guillén	PROPN	31	nmod
38	de	ADP	39	case
39	Castro	PROPN	37	flat
40	,	PUNCT	42	punct
41	con	ADP	42	case
42	Ana	PROPN	21	nmod
43	Belén	PROPN	42	flat
44	en	ADP	46	case
45	el	DET	46	det
46	reparto	NOUN	42	nmod
47	.	PUNCT	9	punct