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:
We are only as strong as our weakest, we are only as healthy as the sickest amongst us- playing sports and being in the army taught me that lesson before I was finished being a teenager.
Postion	Tokenization
1	We
2	are
3	only
4	as
5	strong
6	as
7	our
8	weakest
9	,
10	we
11	are
12	only
13	as
14	healthy
15	as
16	the
17	sickest
18	amongst
19	us
20	-
21	playing
22	sports
23	and
24	being
25	in
26	the
27	army
28	taught
29	me
30	that
31	lesson
32	before
33	I
34	was
35	finished
36	being
37	a
38	teenager
39	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	5	nsubj
2	are	AUX	5	cop
3	only	ADV	5	advmod
4	as	ADV	5	advmod
5	strong	ADJ	0	root
6	as	ADP	8	case
7	our	PRON	8	nmod:poss
8	weakest	ADJ	5	obl
9	,	PUNCT	5	punct
10	we	PRON	14	nsubj
11	are	AUX	14	cop
12	only	ADV	14	advmod
13	as	ADV	14	advmod
14	healthy	ADJ	5	parataxis
15	as	ADP	17	case
16	the	DET	17	det
17	sickest	ADJ	14	obl
18	amongst	ADP	19	case
19	us	PRON	17	obl
20	-	PUNCT	5	punct
21	playing	VERB	28	csubj
22	sports	NOUN	21	obj
23	and	CCONJ	27	cc
24	being	AUX	27	cop
25	in	ADP	27	case
26	the	DET	27	det
27	army	NOUN	21	conj
28	taught	VERB	5	parataxis
29	me	PRON	28	iobj
30	that	DET	31	det
31	lesson	NOUN	28	obj
32	before	SCONJ	35	mark
33	I	PRON	35	nsubj
34	was	AUX	35	cop
35	finished	ADJ	28	advcl
36	being	AUX	38	cop
37	a	DET	38	det
38	teenager	NOUN	35	advcl
39	.	PUNCT	5	punct