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:
En 1968, y con la misma compañía, la joven actriz actuó en el Teatre Grec, donde representó El rufián castrucho, de Lope de Vega.
Postion	Tokenization
1	En
2	1968
3	,
4	y
5	con
6	la
7	misma
8	compañía
9	,
10	la
11	joven
12	actriz
13	actuó
14	en
15	el
16	Teatre
17	Grec
18	,
19	donde
20	representó
21	El
22	rufián
23	castrucho
24	,
25	de
26	Lope
27	de
28	Vega
29	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	1968	NOUN	13	obl
3	,	PUNCT	8	punct
4	y	CCONJ	8	cc
5	con	ADP	8	case
6	la	DET	8	det
7	misma	DET	6	det
8	compañía	NOUN	2	conj
9	,	PUNCT	2	punct
10	la	DET	12	det
11	joven	ADJ	12	amod
12	actriz	NOUN	13	nsubj
13	actuó	VERB	0	root
14	en	ADP	16	case
15	el	DET	16	det
16	Teatre	PROPN	13	obl
17	Grec	PROPN	16	flat
18	,	PUNCT	20	punct
19	donde	PRON	20	obl
20	representó	VERB	16	acl
21	El	DET	22	det
22	rufián	PROPN	20	obj
23	castrucho	PROPN	22	flat
24	,	PUNCT	26	punct
25	de	ADP	26	case
26	Lope	PROPN	21	nmod
27	de	ADP	28	case
28	Vega	PROPN	26	flat
29	.	PUNCT	13	punct