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 camarada Norman, de 40 años, dice tener seis hijos, mujer y una pequeña parcela de una hectárea, que no le da para vivir y situada a más de 150 kilómetros de donde ahora se encuentra.
Postion	Tokenization
1	El
2	camarada
3	Norman
4	,
5	de
6	40
7	años
8	,
9	dice
10	tener
11	seis
12	hijos
13	,
14	mujer
15	y
16	una
17	pequeña
18	parcela
19	de
20	una
21	hectárea
22	,
23	que
24	no
25	le
26	da
27	para
28	vivir
29	y
30	situada
31	a
32	más
33	de
34	150
35	kilómetros
36	de
37	donde
38	ahora
39	se
40	encuentra
41	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	camarada	NOUN	9	nsubj
3	Norman	PROPN	2	appos
4	,	PUNCT	7	punct
5	de	ADP	7	case
6	40	NUM	7	nummod
7	años	NOUN	2	nmod
8	,	PUNCT	7	punct
9	dice	VERB	0	root
10	tener	VERB	9	xcomp
11	seis	NUM	12	nummod
12	hijos	NOUN	10	obj
13	,	PUNCT	14	punct
14	mujer	NOUN	12	appos
15	y	CCONJ	18	cc
16	una	DET	18	det
17	pequeña	ADJ	18	amod
18	parcela	NOUN	12	conj
19	de	ADP	21	case
20	una	DET	21	det
21	hectárea	NOUN	18	nmod
22	,	PUNCT	26	punct
23	que	PRON	26	nsubj
24	no	ADV	26	advmod
25	le	PRON	26	obj
26	da	VERB	18	acl
27	para	ADP	28	mark
28	vivir	VERB	26	advcl
29	y	CCONJ	30	cc
30	situada	ADJ	26	conj
31	a	ADP	32	case
32	más	ADV	35	advmod
33	de	ADP	32	case
34	150	NUM	32	nummod
35	kilómetros	NOUN	30	obl
36	de	ADP	40	mark
37	donde	PRON	40	obl
38	ahora	ADV	40	advmod
39	se	PRON	40	expl:pv
40	encuentra	VERB	35	acl
41	.	PUNCT	9	punct