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 Cuba recibirá adoctrinamiento marxista, mientras que en Estados Unidos se formará en un clima de libertad, lo que le dará conciencia de hombre libre.
Postion	Tokenization
1	En
2	Cuba
3	recibirá
4	adoctrinamiento
5	marxista
6	,
7	mientras
8	que
9	en
10	Estados
11	Unidos
12	se
13	formará
14	en
15	un
16	clima
17	de
18	libertad
19	,
20	lo
21	que
22	le
23	dará
24	conciencia
25	de
26	hombre
27	libre
28	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Cuba	PROPN	3	obl
3	recibirá	VERB	7	parataxis
4	adoctrinamiento	NOUN	3	obj
5	marxista	ADJ	4	amod
6	,	PUNCT	7	punct
7	mientras	CCONJ	0	root
8	que	SCONJ	7	fixed
9	en	ADP	10	case
10	Estados	PROPN	13	obl
11	Unidos	PROPN	10	flat
12	se	PRON	13	obj
13	formará	VERB	7	parataxis
14	en	ADP	16	case
15	un	DET	16	det
16	clima	NOUN	13	obl
17	de	ADP	18	case
18	libertad	NOUN	16	nmod
19	,	PUNCT	23	punct
20	lo	PRON	23	det
21	que	PRON	23	nsubj
22	le	PRON	23	obj
23	dará	VERB	13	advcl
24	conciencia	NOUN	23	obj
25	de	ADP	26	case
26	hombre	NOUN	24	nmod
27	libre	ADJ	26	amod
28	.	PUNCT	7	punct